Relevant bibliographies by topics / Scalable video

Contents

  1. Journal articles
  2. Dissertations / Theses
  3. Books
  4. Book chapters
  5. Conference papers
  6. Reports

Academic literature on the topic 'Scalable video'

Author: Grafiati
Published: 4 June 2021
Last updated: 9 March 2023

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Journal articles on the topic "Scalable video"

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Wang, Te-heng, Mei-juan Chen, Ming-chieh Chi, Shu-fen Huang, and Chia-hung Yeh. "Computation-scalable algorithm for scalable video coding." IEEE Transactions on Consumer Electronics 57, no. 3 (August 2011): 1194–202. http://dx.doi.org/10.1109/tce.2011.6018874.

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Hu Chen, Meng-Ping Kao, and Truong Q. Nguyen. "Bidirectional Scalable Motion for Scalable Video Coding." IEEE Transactions on Image Processing 19, no. 11 (November 2010): 3059–64. http://dx.doi.org/10.1109/tip.2010.2050933.

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Höferlin, Benjamin, Markus Höferlin, Gunther Heidemann, and Daniel Weiskopf. "Scalable video visual analytics." Information Visualization 14, no. 1 (June 5, 2013): 10–26. http://dx.doi.org/10.1177/1473871613488571.

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Video visual analytics is the research field that addresses scalable and reliable analysis of video data. The vast amount of video data in typical analysis tasks renders manual analysis by watching the video data impractical. However, automatic evaluation of video material is not reliable enough, especially when it comes to semantic abstraction from the video signal. In this article, we describe the video visual analytics method that combines the complementary strengths of human recognition and machine processing. After inspecting the challenges of scalable video analysis, we derive the main components of visual analytics for video data. Based on these components, we present our video visual analytics system that has its origins in our IEEE VAST Challenge 2009 participation.
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Alhaisoni, Majed, Mohammed Ghanbari, and Antonio Liotta. "Scalable P2P Video Streaming." International Journal of Business Data Communications and Networking 6, no. 3 (July 2010): 49–65. http://dx.doi.org/10.4018/jbdcn.2010070103.

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P2P networks are a technology able to deliver real time and video-on-demand services over IP networks. Layered video coding techniques are being introduced due to their ability to deliver streams at different scales (temporal, spatial and SNR) that solve the heterogeneity problem. This eases transmission in the case of limited bandwidth, as the devices can pick and decode the minimum bit rate base layer. Existing work examines layered video in client-server scenarios. In contrast, this paper analyzes scalable coding H.264/SVC over P2P networks based on an SNR-temporal Codec. Due to the interdependency between the different SVC layers, issues of reliability and quality of experience arise unless proper measures are taken to protect the base layer. The authors explore the effectiveness of a combination of P2P strategies, for example, hybrid P2P architecture, P2P locality, and P2P redundancy, to assess the viability and benefits of scalable video coding over P2P. The resulting performance is compared with a state-of-the-art P2P TV platform.
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Jiang Li, Keman Yu, Tielin He, Yunfeng Lin, Shipeng Li, and Ya-Qin Zhang. "Scalable portrait video for mobile video communication." IEEE Transactions on Circuits and Systems for Video Technology 13, no. 5 (May 2003): 376–84. http://dx.doi.org/10.1109/tcsvt.2003.811611.

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Schierl, T., T. Stockhammer, and T. Wiegand. "Mobile Video Transmission Using Scalable Video Coding." IEEE Transactions on Circuits and Systems for Video Technology 17, no. 9 (September 2007): 1204–17. http://dx.doi.org/10.1109/tcsvt.2007.905528.

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Hou, Yanzhao, Nan Hu, Qimei Cui, and Xiaofeng Tao. "Performance analysis of scalable video transmission in machine-type-communication caching network." International Journal of Distributed Sensor Networks 15, no. 1 (January 2019): 155014771881585. http://dx.doi.org/10.1177/1550147718815851.

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In this article, different from the traditional Device-to-Device caching wireless cellular networks, we consider the scalable video coding performance in cache-based machine-type communication network, where popular videos encoded by scalable video coding method can be cached at machine-type devices with limited memory space. We conduct a comprehensive analysis of the caching hit probability using stochastic geometry, which measures the probability of requested video files cached by nearby local devices and the user satisfaction index, which is essential to delay sensitive video streams. Simulation results prove the derivation of the performance metrics to be correct, using Random cache method and Popularity Priority cache method. It is also demonstrated that scalable video coding–based caching method can be applied according to different user requirements as well as video-type requests, to achieve a better performance.
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Secker, A., and D. Taubman. "Highly scalable video compression with scalable motion coding." IEEE Transactions on Image Processing 13, no. 8 (August 2004): 1029–41. http://dx.doi.org/10.1109/tip.2004.826089.

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Rantelobo, Kalvein, Hendro Lami, and Wirawan Wirawan. "Video Transmission using Combined Scalability Video Coding over MIMO-OFDM Systems." Indonesian Journal of Electrical Engineering and Computer Science 4, no. 2 (November 1, 2016): 390. http://dx.doi.org/10.11591/ijeecs.v4.i2.pp390-396.

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<p><em>The needs of efficient bandwidth utilization and method to handle bandwidth fluctuation condition of wireless channel have become fundamental problems in video transmission. This research</em><em> proposed </em><em>Combined Scalable Video Coding (CSVC) that refers to Joint Scalable Video Model (JSVM), i.e. development of video coding H.264/AVC by exploiting scalable combination method using Medium Grain Scalability (MGS) on wireless channel of MIMO-OFDM (Multiple Input Multiple Output – Orthogonal Frequency Division Multiplexing) technology. Th</em><em>e</em><em> research shows that the scalable combination method can be implemented on the scenario for wireless transmission on multicast network. Experimental results show</em><em> </em><em>that the delivered quality is close to the alternative traditional simulcast delivery mechanism in MIMO-OFDM systems.</em></p>
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Feng, Wei, Ashraf A. Kassim, and Chen-Khong Tham. "A scalable video codec for layered video streaming." Real-Time Imaging 10, no. 5 (October 2004): 297–305. http://dx.doi.org/10.1016/j.rti.2004.08.005.

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Dissertations / Theses on the topic "Scalable video"

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Lee, Ying 1979. "Scalable video." Thesis, Massachusetts Institute of Technology, 2000. http://hdl.handle.net/1721.1/9071.

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Thesis (M.Eng.)--Massachusetts Institute of Technology, Dept. of Electrical Engineering and Computer Science, 2000.
Includes bibliographical references (p. 51).
This thesis presents the design and implementation of a scalable video scheme that accommodates the uncertainties in networks and the differences in receivers' displaying mechanisms. To achieve scalability, a video stream is encoded into two kinds of layers, namely the base layer and the enhancement layer. The decoder must process the base layer in order to display minimally acceptable video quality. For higher quality, the decoder simply combines the base layer with one or more enhancement layers. Incorporated with the IP multicast system, the result is a highly flexible and extensible structure that facilitates video viewing to a wide variety of devices, yet customizes the presentation for each individual receiver.
by Ying Lee.
M.Eng.
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Stampleman, Joseph Bruce. "Scalable video compression." Thesis, Massachusetts Institute of Technology, 1992. http://hdl.handle.net/1721.1/70216.

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Wee, Susie Jung-Ah. "Scalable video coding." Thesis, Massachusetts Institute of Technology, 1996. http://hdl.handle.net/1721.1/11007.

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Dereboylu, Ziya. "Error resilient scalable video coding." Thesis, University of Surrey, 2014. http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.582748.

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Video compression is necessary for effective coding of video data so that the data can be stored or transmitted more efficiently. In video compression, the more redundant data are discarded, the higher compression ratios will be achievable. This causes the contents of a compressed bitstream to be highly dependent on each other. In video communications, the compressed bitstream is ,subject to losses and errors due to the nature of the transmission medium. Since the contents of the compressed bitstream are highly dependent on each other, when a loss or an error occurs this leads to propagation of the error, which causes deterioration of the decoded video quality. Error resilience plays an important role / in decreasing the quality degradation caused by losses arid errors. Error resilience methods can either take place in the encoder side as a coding technique which decreases the effects of errors on the coded bitstream or in the decoder side as a technique which conceals the detected errors or losses. Error concealment which takes place in decoder side and redundant slice coding which takes place in encoder side are investigated throughout the thesis. The first part of the thesis investigates efficient error concealment techniques for Scalable Video Coding (SVC). These include the utilisation of higher Temporal Level picture motion information and the utilisation of "Bridge Pictures" which will be described in later chapters, for error concealment. The second part of the thesis investigates redundant slice coding for SVc. Single Block per Macroblock and Zero Residual redundant slice coding schemes are proposed and tested in this part of the thesis. In addition to these, an adaptive redundant slice allocation scheme is also proposed and tested. The last part of the thesis investigates error resilient coding techniques for multi-view 3D video. Multi-view 3D video compression is achieved using the SVC CoDec by coding one of the views as the Base Layer and the other views as the Enhancement Layers utilising the adaptive inter-layer prediction mechanism of the SVc.
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Sanhueza, Gutiérrez Andrés Edgardo. "Scalable video coding sobre TCP." Tesis, Universidad de Chile, 2015. http://repositorio.uchile.cl/handle/2250/136454.

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Ingeniero Civil Eléctrico
En tiempos modernos la envergadura del contenido multimedia avanza más rápido que el desarrollo de las tecnologías necesarias para su correcta difusión a través de la red. Es por esto que se hacen necesarios nuevos protocolos que sirvan como puente entre ambas entidades para así obtener un máximo de provecho del contenido a pesar de que la tecnología para distribuirlos aún no sea la adecuada. Es así, que dentro de las últimas tecnologías de compresión de video se encuentra Scalable Video Coding (SVC), la cual tiene por objetivo codi car distintas calidades en un único bitstream capaz de mostrar cualquiera de las calidades embebidas en éste según se reciba o no toda la información. En el caso de una conexión del tipo streaming, en donde es necesaria una uidez y delidad en ambos extremos, la tecnología SVC tiene un potencial muy grande respecto de descartar un mínimo de información para privilegiar la uidez de la transmisión. El software utilizado para la creación y manipulación de estos bitstreams SVC es Joint Scalable Video Model (JSVM). En este contexto, se desarrolla el algoritmo de deadline en Matlab, que omite informaci ón del video SVC de acuerdo a qué tan crítico sea el escenario de transmisión. En este escenario se considera la percepción de uidez del usuario como medida clave, por lo cual se prioriza mantener siempre una tasa de 30 fps a costa de una pérdida de calidad mínima. El algoritmo, omite información de acuerdo a qué tan lejos se esté de este deadline de 30 fps, si se está muy lejos, se omite información poco relevante, y si se está muy cerca, información más importante. Los resultados se contrastan con TCP y se evalúan para distintos valores de RTTs, cumpliendo totalmente el objetivo para valores menores a 150 ms que resultan en diferencias de hasta 20 s a favor del algoritmo de deadline al término de la transmisión. Esta mejora en tiempo de arribo no descarta información esencial y sólo degrada ligeramente la calidad del video en pos de mantener la tasa de 30fps. Por el contrario, en escenarios muy adversos de 300 ms en RTT, las omisiones son de gran envergadura y comprometen frames completos, en conjunto con una degradación generalizada del video y la aparición de artefactos en éste. Por tanto la propuesta cumple los objetivos en ambientes no muy adversos. Para toda la simulación se uso un video en movimiento de 352x288 y 150 frames de largo.
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Mehrseresht, Nagita Electrical Engineering &amp communication UNSW. "Adaptive techniques for scalable video compression." Awarded by:University of New South Wales. Electrical Engineering and communication, 2005. http://handle.unsw.edu.au/1959.4/20552.

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In this work we investigate adaptive techniques which can be used to improve the performance of highly scalable video compression schemes under resolution scaling. We propose novel content adaptive methods for motion compensated 3D discrete wavelet transformation (MC 3D-DWT) of video. The proposed methods overcome problems of ghosting and non-aligned aliasing artifacts, which can arise in regions of motion model failure, when the video is reconstructed at reduced temporal or spatial resolutions. We also study schemes which facilitate simultaneous scaling of compressed video bitstreams based on both constant bit-rate and constant distortion criteria, using simple and generic scaling operations. In regions where the motion model fails, the motion compensated temporal discrete wavelet transform (MC TDWT) causes ghosting artifacts under frame-rate scaling, due to temporal lowpass filtering along invalid motion trajectories. To avoid ghosting artifacts, we adaptively select between different lowpass filters, based on a local estimate of the motion modelling accuracy. Experimental results indicate that the proposed adaptive transform substantially removes ghosting artifacts while also preserving the high compression efficiency of the original MC TDWT. We also study the impact of various MC 3D-DWT structures on spatial scalability. Investigating the interaction between spatial aliasing, scalability and energy compaction shows that the t+2D structure essentially has higher compression efficiency. However, where the motion model fails, structures of this form cause non-aligned aliasing artifacts under spatial scaling. We propose novel adaptive schemes to continuously adapt the structure of MC 3D-DWT based on information available within the compressed bitstream. Experimental results indicate that the proposed adaptive structure preserves the high compression efficiency of the t+2D structure while also avoiding the appearance of non-aligned aliasing artifacts under spatial scaling. To provide simultaneous rate and distortion scaling, we study ???layered substream structure. Scaling based on distortion generates variable bit-rate traffic which satisfies the desired average bit-rate and is consistent with the requirements of leaky-bucket traffic models. We propose a novel method which also satisfies constraints on instantaneous bit-rate. This method overcomes the weakness of previous methods with small leaky-bucket buffer sizes. Simulation results indicate promising performance with both MC 3D-DWT interframe and JPEG2000 intraframe compression.
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Fan, Dian. "Scalable Video Transport over IP Networks." Scholarly Repository, 2010. http://scholarlyrepository.miami.edu/oa_dissertations/460.

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With the advances in video compression and networking techniques, the last ten years have witnessed an explosive growth of video applications over the Internet. However, the service model of the current best-effort network was never engineered to handle video traffic and, as a result, video applications still suffer from varying and unpredictable network conditions, in terms of bandwidth, packet loss and delay. To address these problems, a lot of innovative techniques have been proposed and researched. Among them, scalable video coding is a promising one to cope with the dynamics of the available bandwidth and heterogeneous terminals. This work aims at improving the efficacy of scalable video transport over IP networks. In this work, we first propose an optimal interleaving scheme combined with motion-compensated fine granularity scalability video source coding and unequal loss protection schemes, under an imposed delay constraint. The network is modeled as a packet-loss channel with random delays. The motion compensation prediction, ULP allocation and the depth of the interleaver are jointly optimized based on the network status and the delay constraint. We then proceed to investigate the multiple path transport technique. A unified approach which incorporates adaptive motion compensation prediction, multiple description coding and unequal multiple path allocation, is proposed to improve both the robustness and error resilience property of the video coding and transmission system, while the delivered video quality is improved simultaneously. To analytically investigate the efficacy of error resilient transport schemes for progressively encoded sources, including unequal loss protection, best-effort and FEC transport schemes, we develop evaluation and optimization approaches for these transport schemes. In this part of the work, the network is modeled as an M/D/1/K queue, and then a comprehensive queueing analysis is provided. Armed with these results, the efficacy of these transport schemes for progressively encoded sources are investigated and compared.
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Kim, Taehyun. "Scalable Video Streaming over the Internet." Diss., Georgia Institute of Technology, 2005. http://hdl.handle.net/1853/6829.

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The objectives of this thesis are to investigate the challenges on video streaming, to explore and compare different video streaming mechanisms, and to develop video streaming algorithms that maximize visual quality. To achieve these objectives, we first investigate scalable video multicasting schemes by comparing layered video multicasting with replicated stream video multicasting. Even though it has been generally accepted that layered video multicasting is superior to replicated stream multicasting, this assumption is not based on a systematic and quantitative comparison. We argue that there are indeed scenarios where replicated stream multicasting is the preferred approach. We also consider the problem of providing perceptually good quality of layered VBR video. This problem is challenging, because the dynamic behavior of the Internet's available bandwidth makes it difficult to provide good quality. Also a video encoded to provide a consistent quality exhibits significant data rate variability. We are, therefore, faced with the problem of accommodating the mismatch between the available bandwidth variability and the data rate variability of the encoded video. We propose an optimal quality adaptation algorithm that minimizes quality variation while at the same time increasing the utilization of the available bandwidth. Finally, we investigate the transmission control protocol (TCP) for a transport layer protocol in streaming packetized media data. Our approach is to model a video streaming system and derive relationships under which the system employing the TCP protocol achieves desired performance. Both simulation results and the Internet experimental results validate this model and demonstrate the buffering delay requirements achieve desired video quality with high accuracy. Based on the relationships, we also develop realtime estimation algorithms of playout buffer requirements.
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Akhlaghian, Tab Fardin. "Multiresolution scalable image and video segmentation." Access electronically, 2005. http://www.library.uow.edu.au/adt-NWU/public/adt-NWU20060227.100704/index.html.

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Al-Muscati, Hussain. "Scalable transcoding of H.264 video." Thesis, McGill University, 2010. http://digitool.Library.McGill.CA:80/R/?func=dbin-jump-full&object_id=92256.

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Digital video transcoding provides a low complexity mechanism to convert a coded video stream from one compression standard to another. This conversion should be achieved while maintaining a high visual quality. The recent emergence and standardization of the scalable extension of the H.264 standard, together with the large availability of encoded H.264 single-layer content places great importance in developing a transcoding mechanism that converts from the single layer to the scalable form.
In this thesis, transcoding of a single layer H.264/AVC stream to H.264/SVC stream with combined spatial-temporal scalability is achieved through the use of a heterogeneous video transcoder in the pixel domain. This architecture is chosen as a compromise between complexity and reconstruction quality.
In this transcoder, the input H.264/AVC stream is fully decoded. The macroblock coding modes and partitioning decisions are reused to encode the output H.264/SVC stream. A set of new motion vectors is computed from the input stream coded motion vectors. This extracted and modified information is collectively downsampled, together with the decoded frames, in order to provide multiple scalable layers. The newly computed motion vectors are further subjected to a 3 pixel refinement. The output stream is coded with either a hierarchical B-frame or a zero-delay referencing structure.
The performance of the proposed transcoder is validated through simulation results. These simulations compare both the compression efficiency (PSNR/bit-rate) and computational complexity (computation time) of the implemented transcoding scheme to a setup that preforms a full decoding followed by a full encoding of the incoming video stream. It is shown that a significant decrease in computational complexity is achieved with a reduction of over 60% in some cases, while maintaining a small loss in compression efficiency.
Le transcodage vid´eo num´erique fournit un m´ecanisme de faible complexit´e pour convertir un flux vid´eo d'un format de compression `a un autre. Cette conversion devrait ˆetre atteinte tout en maintenant une haute qualit´e visuelle. La r´ecente ´emergence et la normalisation de l'extension "scalable" (en couches) de la norme H.264, ainsi que la grande disponibilit´e de contenu cod´e au format H.264 `a couche unique donnent une grande importance au d´eveloppement d'un m´ecanisme de transcodage qui convertit du format `a couche unique `a la forme "scalable" .
Dans cette th`ese, le transcodage d'un flux simple couche H.264/AVC vers un flux H.264/SVC combinant des couches spatiales et temporelles est obtenue par l'utilisation d'un transcodeur vid´eo h´et´erog`ene dans le domaine des pixels. Cette architecture est choisie comme un compromis entre la complexit´e et la qualit´e de reconstruction.
Dans ce transcodeur, le flux d'entr´ee H.264/AVC est enti`erement d´ecod´e. Le mode de codage et les d´ecisions de partitionnement pour les macro-blocs sont r´eutilis´es pour encoder le flux de sortie H.264/SVC. Un ensemble de nouveaux vecteurs de mouvement est calcul´e `a partir des vecteurs de mouvement du flux d'entr´ee cod´e. Cette information modifi´ee est sous-´echantillonn´ee, en mˆeme temps que les images d´ecod´ees, afin de fournir de multiples couches spatiales. Les vecteurs de mouvement nouvellement calcul´e sont en outre soumis `a un raffinement de 3 pixels. Le flux de sortie est cod´e soit avec soit un syst`eme dimages B hi´erarchique soit avec une structure `a d´elai z´ero.
La performance du transcodeur propos´e est valid´ee par les r´esultats de simulation.
Ces simulations comparent `a la fois l'efficacit´e de compression (PSNR/d´ebit), et la complexit ´e des calculs (temps de calcul) du syst`eme de transcodage `a un syst`eme qui met en uvre un d´ecodage complet suivi d'un r´e-encodage complet du flux vid´eo entrant. Il est d´emontr´e qu'une diminution significative de la complexit´e algorithmique est atteinte avec une r´eduction de plus de 60% dans certains cas, tout en maintenant une faible perte en efficacit´e de compression.
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Books on the topic "Scalable video"

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Zink, Michael. Scalable Video on Demand. West Sussex, England: John Wiley & Sons, Ltd,., 2005. http://dx.doi.org/10.1002/9780470022702.

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Scalable video on demand: Adaptive Internet-based distribution. Hoboken, NJ: J. Wiley & Sons, 2005.

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Tudor, P. N. Digital video compression: Standardisation of scalable coding schemes. London: British Broadcasting Corporation. Research and Development Department, 1994.

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Hwang, Kyung-Wook. Design of Scalable On-Demand Video Streaming Systems Leveraging Video Viewing Patterns. [New York, N.Y.?]: [publisher not identified], 2013.

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Rüfenacht, Dominic. Novel Motion Anchoring Strategies for Wavelet-based Highly Scalable Video Compression. Singapore: Springer Singapore, 2018. http://dx.doi.org/10.1007/978-981-10-8225-2.

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Scalable computing and communications: Theory and practice. Hoboken, New Jersey: Wiley, 2013.

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Mauricio, Alvarez-Mesa, Chi Chi Ching, Azevedo Arnaldo, Meenderinck Cor, Ramirez Alex, and SpringerLink (Online service), eds. Scalable Parallel Programming Applied to H.264/AVC Decoding. New York, NY: Springer New York, 2012.

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Thie, Johnson. Optimal erasure protection assignment for scalable data: Protecting scalably compressed images and videos against erasure over packet-based networks. Köln: Lambert Academic Pub., 2009.

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Zhu, Chunrong. Scalable video coding for ATM networks. 1994.

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Zink, Michael. Scalable Video on Demand: Adaptive Internet-Based Distribution. Wiley & Sons, Incorporated, John, 2013.

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Book chapters on the topic "Scalable video"

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Jiang, Xiaofeng, Shuangwu Chen, and Jian Yang. "Scalable Video Streaming." In Encyclopedia of Wireless Networks, 1252–57. Cham: Springer International Publishing, 2020. http://dx.doi.org/10.1007/978-3-319-78262-1_281.

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Jiang, Xiaofeng, Shuangwu Chen, and Jian Yang. "Scalable Video Streaming." In Encyclopedia of Wireless Networks, 1–6. Cham: Springer International Publishing, 2018. http://dx.doi.org/10.1007/978-3-319-32903-1_281-1.

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Shi, Feng, Shaohui Liu, Hongxun Yao, Yan Liu, and Shengping Zhang. "Scalable and Credible Video Watermarking towards Scalable Video Coding." In Advances in Multimedia Information Processing - PCM 2010, 697–708. Berlin, Heidelberg: Springer Berlin Heidelberg, 2010. http://dx.doi.org/10.1007/978-3-642-15702-8_64.

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Zink, Michael. "Scalable Adaptive Streaming Architecture." In Scalable Video on Demand, 9–35. West Sussex, England: John Wiley & Sons, Ltd,., 2013. http://dx.doi.org/10.1002/9780470022702.ch2.

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Jillani, Rashad, and Hari Kalva. "Scalable Video Coding Standard." In Encyclopedia of Multimedia, 775–81. Boston, MA: Springer US, 2008. http://dx.doi.org/10.1007/978-0-387-78414-4_63.

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Mrak, Marta, and Ebroul Izquierdo. "Scalable Video Coding Fundamentals." In Encyclopedia of Multimedia, 771–75. Boston, MA: Springer US, 2008. http://dx.doi.org/10.1007/978-0-387-78414-4_199.

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Zink, Michael. "Introduction." In Scalable Video on Demand, 1–8. West Sussex, England: John Wiley & Sons, Ltd,., 2013. http://dx.doi.org/10.1002/9780470022702.ch1.

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Zink, Michael. "Towards a Scalable Adaptive Streaming Architecture." In Scalable Video on Demand, 37–61. West Sussex, England: John Wiley & Sons, Ltd,., 2013. http://dx.doi.org/10.1002/9780470022702.ch3.

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Zink, Michael. "Quality Variations in Layer-Encoded Video." In Scalable Video on Demand, 63–89. West Sussex, England: John Wiley & Sons, Ltd,., 2013. http://dx.doi.org/10.1002/9780470022702.ch4.

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Zink, Michael. "Retransmission Scheduling." In Scalable Video on Demand, 91–125. West Sussex, England: John Wiley & Sons, Ltd,., 2013. http://dx.doi.org/10.1002/9780470022702.ch5.

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Conference papers on the topic "Scalable video"

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Liu, Shujie, and Chang Wen Chen. "Scalable video transmission." In the 21st international workshop. New York, New York, USA: ACM Press, 2011. http://dx.doi.org/10.1145/1989240.1989268.

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Abozeid, Amr, Hesham Farouk, and Kamal ElDahshan. "Scalable Video Summarization." In the International Conference. New York, New York, USA: ACM Press, 2017. http://dx.doi.org/10.1145/3093241.3093287.

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Stankovic, Vladimir, Lina Stankovic, and Samuel Cheng. "Scalable compressive video." In 2011 18th IEEE International Conference on Image Processing (ICIP 2011). IEEE, 2011. http://dx.doi.org/10.1109/icip.2011.6116710.

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Hill, P. R., A. Achim, and D. R. Bull. "Scalable video fusion." In 2013 20th IEEE International Conference on Image Processing (ICIP). IEEE, 2013. http://dx.doi.org/10.1109/icip.2013.6738263.

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Alfonso, Daniele, Matteo Gherardi, Andrea Vitali, and Fabrizio Rovati. "Performance analysis of the scalable video coding standard." In Packet Video 2007. IEEE, 2007. http://dx.doi.org/10.1109/packet.2007.4397047.

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Muge Sayit and Gamze Seckin. "Scalable video with raptor for wireless multicast networks." In Packet Video 2007. IEEE, 2007. http://dx.doi.org/10.1109/packet.2007.4397058.

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Wang, Te-Heng, Mei-Juan Chen, Ming-Chieh Chi, Shu-Fen Huang, and Chia-Hung Yeh. "Computation-scalable algorithm for scalable video coding." In 2011 IEEE International Conference on Consumer Electronics (ICCE). IEEE, 2011. http://dx.doi.org/10.1109/icce.2011.5722500.

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Hu Chen, Meng-Ping Kao, and Truong Nguyen. "Bidirectional scalable motion for scalable video coding." In 2009 16th IEEE International Conference on Image Processing ICIP 2009. IEEE, 2009. http://dx.doi.org/10.1109/icip.2009.5414489.

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Liu, Shu-Wei, Chi-Hui Huang, and Ja-Ling Wu. "Fully scalable video codec." In Photonics West 2001 - Electronic Imaging, edited by Bernd Girod, Charles A. Bouman, and Eckehard G. Steinbach. SPIE, 2000. http://dx.doi.org/10.1117/12.411874.

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Kodama, M., and S. Suzuki. "Scalable video contents delivery method with scalable transcoding." In 2004 IEEE International Symposium on Industrial Electronics. IEEE, 2004. http://dx.doi.org/10.1109/isie.2004.1571824.

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Reports on the topic "Scalable video"

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Woods, John W. Scalable and Robust Video Compression. Fort Belvoir, VA: Defense Technical Information Center, December 2000. http://dx.doi.org/10.21236/ada391136.

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Wenger, S., Y. K. Wang, T. Schierl, and A. Eleftheriadis. RTP Payload Format for Scalable Video Coding. RFC Editor, May 2011. http://dx.doi.org/10.17487/rfc6190.

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Kondi, Lisimachos P. Scalable Video Transmission Over Multi-Rate Multiple Access Channels. Fort Belvoir, VA: Defense Technical Information Center, June 2007. http://dx.doi.org/10.21236/ada470529.

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Harizopoulos, Stavros, and Garth A. Gibson. PASTENSE: A Fast Start-up Algorithm for Scalable Video Libraries. Fort Belvoir, VA: Defense Technical Information Center, March 2001. http://dx.doi.org/10.21236/ada461107.

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Frankel, Martin, and Jon A. Webb. Design, Implementation, and Performance of a Scalable Multi-Camera Interactive Video Capture System,. Fort Belvoir, VA: Defense Technical Information Center, June 1995. http://dx.doi.org/10.21236/ada303255.

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Santoro, Fabrizio. Visual Nudges: How Deterrence and Equity Shape Tax Compliance Attitudes and Behaviour in Rwanda. Institute of Development Studies, August 2022. http://dx.doi.org/10.19088/ictd.2022.011.

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The empirical evidence on the drivers of compliance is expanding quickly, but there is less evidence from low-income countries. Mass-media communication channels are a cheap option that budget-constrained revenue administrations can use to communicate with taxpayers. However, very little is known about the effectiveness of such tools in improving compliance. This paper starts to address this gap by testing the impact of two short animated videos on tax matters – one focusing on deterrence and the other on equity – that were used in a survey experiment. Using a unique dataset of survey and administrative data from Rwandan taxpayers, we are able to measure the impact on compliance perceptions and behaviour. We document two significant results. First, both videos are effective in improving perceptions around enforcement and equity. Second, only the deterrence video translates into more tax being remitted – the equity appeal fails to raise more revenue. We investigate the mechanisms behind this response, and show that prior behaviour of taxpayers might explain the different responses to our deterrence and equity treatments. Our intervention is highly cost-effective and easily scalable.
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Bell, Jack, Rik Law, Howell Li, Ben Anderson, and Darcy M. Bullock. New Opportunities for Automated Pedestrian Performance Measures. Purdue University, 2021. http://dx.doi.org/10.5703/1288284317351.

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Pedestrian safety is an important concern when evaluating intersections. Previous literature has shown that exclusive pedestrian phases improve safety, but at the expense of imposing greater pedestrian and motorist delay. However, outside of crash data, there are no easily implementable performance measures for pedestrians at traffic signals. This study proposes two performance metrics: (1) a time-to-jaywalk measure, and (2) the Conflict Occupancy Ratio (COR) for evaluating concurrent pedestrian signal phasing with turning vehicles. The COR quantifies conflicts between turning vehicles and pedestrians in the crosswalk. The COR is based upon a commercially deployed video detection system that correctly identified the presence of pedestrians to within two per cycle in this study. This performance is likely sufficient for the current application, but as the technology matures it will provide a scalable screening tool to identify intersections that have opportunities for capacity adjustments or warrant further direct field investigation.
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