Добірка наукової літератури з теми "Multimedia information objects"
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Статті в журналах з теми "Multimedia information objects"
Huang, Yin-Fu, and Jung-Hau Lin. "A placement strategy of multimedia objects in multimedia information systems." Journal of Systems and Software 62, no. 3 (June 2002): 181–93. http://dx.doi.org/10.1016/s0164-1212(01)00140-6.
Повний текст джерелаWagenpfeil, Stefan, Paul Mc Kevitt, and Matthias Hemmje. "Smart Multimedia Information Retrieval." Analytics 2, no. 1 (February 20, 2023): 198–224. http://dx.doi.org/10.3390/analytics2010011.
Повний текст джерелаSmith, Roger W., Dorota Kieronska, and Svetha Venkatesh. "Conceptual Representation for Multimedia Information." International Journal of Pattern Recognition and Artificial Intelligence 11, no. 02 (March 1997): 303–27. http://dx.doi.org/10.1142/s0218001497000147.
Повний текст джерелаCHEN, SHU-CHING, MEI-LING SHYU, CHENGCUI ZHANG, and R. L. KASHYAP. "IDENTIFYING OVERLAPPED OBJECTS FOR VIDEO INDEXING AND MODELING IN MULTIMEDIA DATABASE SYSTEMS." International Journal on Artificial Intelligence Tools 10, no. 04 (December 2001): 715–34. http://dx.doi.org/10.1142/s0218213001000738.
Повний текст джерелаMacFarlane, Andrew, Sondess Missaoui, and Sylwia Frankowska-Takhari. "On Machine Learning and Knowledge Organization in Multimedia Information Retrieval." KNOWLEDGE ORGANIZATION 47, no. 1 (2020): 45–55. http://dx.doi.org/10.5771/0943-7444-2020-1-45.
Повний текст джерелаMacKenzie, Niall, and Andrew Walsh. "Enhancing the curriculum: shareable multimedia learning objects." Journal of Systems and Information Technology 11, no. 1 (January 30, 2009): 71–83. http://dx.doi.org/10.1108/13287260910932421.
Повний текст джерелаPOZZI, SILVANO, and LUCA GIACHINO. "AN OBJECT-ORIENTED PROGRAMMING ENVIRONMENT FOR MULTIMEDIA COOPERATIVE INFORMATION SYSTEMS." International Journal of Cooperative Information Systems 03, no. 01 (March 1994): 3–23. http://dx.doi.org/10.1142/s0218215794000028.
Повний текст джерелаGe, Mouzhi, and Fabio Persia. "A Survey of Multimedia Recommender Systems: Challenges and Opportunities." International Journal of Semantic Computing 11, no. 03 (September 2017): 411–28. http://dx.doi.org/10.1142/s1793351x17500039.
Повний текст джерелаPrudhvi Kolla, Naga, Dr JKR Sastry, Dr V Chandra Prakash, Siva Krishna Onteru, and Yeshwanth Surya Pinninti. "Assessing quality of web sites based on multimedia content." International Journal of Engineering & Technology 7, no. 2.7 (March 18, 2018): 140. http://dx.doi.org/10.14419/ijet.v7i2.7.12225.
Повний текст джерелаLin, Chi-Cheng, Jiangxu Xiang, and Shi-Kuo Chang. "Transformation and exchange of multimedia objects in distributed multimedia systems." Multimedia Systems 4, no. 1 (February 1996): 12–29. http://dx.doi.org/10.1007/s005300050009.
Повний текст джерелаДисертації з теми "Multimedia information objects"
Gupta, Gaurav. "Robust digital watermarking of multimedia objects." Phd thesis, Australia : Macquarie University, 2008. http://hdl.handle.net/1959.14/28597.
Повний текст джерелаBibliography: p. 144-153.
Introduction -- Background -- Overview of watermarking -- Natural language watermarking -- Software watermarking -- Semi-blind and reversible database watermarking -- Blind and reversible database watermarking -- Conclusion and future research -- Bibliography.
Digital watermarking has generated significant research and commercial interest in the past decade. The primary factors contributing to this surge are widespread use of the Internet with improved bandwidth and speed, regional copyright loopholes in terms of legislation; and seamless distribution of multimedia content due to peer-to-peer file-sharing applications. -- Digital watermarking addresses the issue of establishing ownership over mul-timedia content through embedding a watermark inside the object. Ideally, this watermark should be detectable and/or extractable, survive attacks such as digital reproduction and content-specific manipulations such as re-sizing in the case of images, and be invisible to the end-user so that the quality of the content is not degraded significantly. During detection or extraction, the only requirements should be the secret key and the watermarked multimedia object, and not the original un-marked object or the watermark inserted. Watermarking scheme that facilitate this requirement are categorized as blind. In recent times, reversibility of watermark has also become an important criterion. This is due to the fact that reversible watermarking schemes can provided security against secondary watermarking attacks by using backtracking algorithms to identify the rightful owner. A watermarking scheme is said to be reversible if the original unmarked object can be regenerated from the watermarked copy and the secret key.
This research covers three multimedia content types: natural language documents, software, and databases; and discusses the current watermarking scenario, challenges, and our contribution to the field. We have designed and implemented a natural language watermarking scheme that uses the redundancies in natural languages. As a result, it is robust against general attacks against text watermarks. It offers additional strength to the scheme by localizing the attack to the modified section and using error correction codes to detect the watermark. Our first contribution in software watermarking is identification and exploitation of weaknesses in branch-based software watermarking scheme proposed in [71] and the software watermarking algorithm we present is an improvised version of the existing watermarking schemes from [71]. Our scheme survives automated debugging attacks against which the current schemes are vulnerable, and is also secure against other software-specific attacks. We have proposed two database watermarking schemes that are both reversible and therefore resilient against secondary watermarking attacks. The first of these database watermarking schemes is semi-blind and requires the bits modified during the insertion algorithm to detect the watermark. The second scheme is an upgraded version that is blind and therefore does not require anything except a secret key and the watermarked relation. The watermark has a 89% probability of survival even when almost half of the data is manipulated. The watermarked data in this case is extremely useful from the users' perspective, since query results are preserved (i.e., the watermarked data gives the same results for a query as the nmarked data). -- The watermarking models we have proposed provide greater security against sophisticated attacks in different domains while providing sufficient watermark-carrying capacity at the same time. The false-positives are extremely low in all the models, thereby making accidental detection of watermark in a random object almost negligible. Reversibility has been facilitated in the later watermarking algorithms and is a solution to the secondary watermarking attacks. We shall address reversibility as a key issue in our future research, along with robustness, low false-positives and high capacity.
Mode of access: World Wide Web.
xxiv, 156 p. ill. (some col.)
Chan, Wing Sze. "Semantic search of multimedia data objects through collaborative intelligence." HKBU Institutional Repository, 2010. http://repository.hkbu.edu.hk/etd_ra/1171.
Повний текст джерелаFuhr, Norbert Roelleke Thomas Goevert Norbert. "DOLORES: A System for Logic-Based Retrieval of Multimedia Objects." Gerhard-Mercator-Universitaet Duisburg, 2004. http://www.ub.uni-duisburg.de/ETD-db/theses/available/duett-04232004-133407/.
Повний текст джерелаWatkins, Alfred R. "Continuous media object modeling, storage, and retrieval." Diss., Georgia Institute of Technology, 1996. http://hdl.handle.net/1853/9184.
Повний текст джерелаChavan, Rohit. "JAVA synchronized collaborative multimedia toolkit: A collaborative communication tool." CSUSB ScholarWorks, 2004. https://scholarworks.lib.csusb.edu/etd-project/2549.
Повний текст джерелаMaynard, David Charles. "Paying Attention to the Alien: Reevaluating Composition Studies' Construction of Human Agency in Light of Secret Government Surveillance." University of Findlay / OhioLINK, 2017. http://rave.ohiolink.edu/etdc/view?acc_num=findlay149381947498726.
Повний текст джерелаPahuja, Neena. "Multimedia information objects: A model and scheduling algorithm for synchronized replay." Thesis, 1999. http://localhost:8080/iit/handle/2074/2225.
Повний текст джерела"Indexing methods for multimedia data objects given pair-wise distances." 1997. http://library.cuhk.edu.hk/record=b5889136.
Повний текст джерелаThesis (M.Phil.)--Chinese University of Hong Kong, 1997.
Includes bibliographical references (leaves 67-70).
Abstract --- p.ii
Acknowledgement --- p.iii
Chapter 1 --- Introduction --- p.1
Chapter 1.1 --- Definitions --- p.3
Chapter 1.2 --- Thesis Overview --- p.5
Chapter 2 --- Background and Related Work --- p.6
Chapter 2.1 --- Feature-Based Index Structures --- p.6
Chapter 2.2 --- Distance Preserving Methods --- p.8
Chapter 2.3 --- Distance-Based Index Structures --- p.9
Chapter 2.3.1 --- The Vantage-Point Tree Method --- p.10
Chapter 3 --- The Problem of Distance Preserving Methods in Querying --- p.12
Chapter 3.1 --- Some Experimental Results --- p.13
Chapter 3.2 --- Discussion --- p.15
Chapter 4 --- Nearest Neighbor Search in VP-trees --- p.17
Chapter 4.1 --- The sigma-factor Algorithm --- p.18
Chapter 4.2 --- The Constant-α Algorithm --- p.22
Chapter 4.3 --- The Single-Pass Algorithm --- p.24
Chapter 4.4 --- Discussion --- p.25
Chapter 4.5 --- Performance Evaluation --- p.26
Chapter 4.5.1 --- Experimental Setup --- p.27
Chapter 4.5.2 --- Results --- p.28
Chapter 5 --- Update Operations on VP-trees --- p.41
Chapter 5.1 --- Insert --- p.41
Chapter 5.2 --- Delete --- p.48
Chapter 5.3 --- Performance Evaluation --- p.51
Chapter 6 --- Minimizing Distance Computations --- p.57
Chapter 6.1 --- A Single Vantage Point per Level --- p.58
Chapter 6.2 --- Reuse of Vantage Points --- p.59
Chapter 6.3 --- Performance Evaluation --- p.60
Chapter 7 --- Conclusions and Future Work --- p.63
Chapter 7.1 --- Future Work --- p.65
Bibliography --- p.67
"The effects of evaluation and rotation on descriptors and similarity measures for a single class of image objects." Thesis, 2008. http://hdl.handle.net/10210/564.
Повний текст джерелаDr. W.A. Clarke
Kuo, Hai-Hua, and 郭海華. "An Information Sharing Workspace Supporting Multimedia of XML Object." Thesis, 2005. http://ndltd.ncl.edu.tw/handle/84268779189139563596.
Повний текст джерела國立成功大學
電腦與通信工程研究所
93
The concept of XML Information Object has been proposed by our research team. For management and reusing purpose, the Internet information is modelled as Information Object that can be manipulated and exchanged as a unit. We use an XML file as a unit to encapsulate text data and binary contents as an XML Object to realize the concept of Information Object. To realize the idea we have developed a storage management system called XML Document Storage (XDS). In addition, we have implemented the Information Sharing Workspace (ISW) as a workspace on which users can easily construct XML Objects and share XML Objects stored in XDS. In this thesis, we will model the total system, both the XDS and the ISW to give a more clear view for exploring advanced topic or issues to be addressed in the future. In particular, we will pay much effort on the improving of binary contents attachment in an XML object. In the previous version of XDS, the binary content is BASE64-encoded and embedded in an element of an XML object for transmission on the wire. This way will incur a problem of XML object size limitation due to the implementation constraints of XML and language tools. Another problem is on the performance in manipulating binary contents. To cope with these problems, we define several kinds of attachment objects to represent the binary contents and linked to an XML object for transmission. With the new approach the size limitation and the efficiency on manipulating binary contents are improved.
Книги з теми "Multimedia information objects"
Cyrus, Shahabi, ed. Shape analysis and retrieval of multimedia objects. Boston: Kluwer Academic Publishers, 2002.
Знайти повний текст джерелаGuo, Ju. Semantic Video Object Segmentation for Content-Based Multimedia Applications. Boston, MA: Springer US, 2002.
Знайти повний текст джерела1952-, Dasananda Surapol, and Minassian Norayr, eds. The Jasmine object database: Multimedia applications for the Web. San Francisco, Calif: Morgan Kaufmann Publishers, 1999.
Знайти повний текст джерелаGuo, Ju. Semantic video object segmentation for content-based multimedia applications. Boston: Kluwer Academic Publishers, 2001.
Знайти повний текст джерелаJay, Kuo C. C., ed. Semantic video object segmentation for content-based multimedia applications. Boston: Kluwer Academic Publishers, 2001.
Знайти повний текст джерелаMueck, Thomas A. Index Data Structures in Object-Oriented Databases. Boston, MA: Springer US, 1997.
Знайти повний текст джерелаHerzog, O., and Thomas Schildhauer. Intelligente Objekte: Technische Gestaltung, wirtschaftliche Verwertung, gesellschaftliche Wirkung. Berlin: Springer, 2009.
Знайти повний текст джерела1935-, Lasker G. E., Shih Timothy K, International Institute for Advanced Studies in Systems Research and Cybernetics., and International Conference on Systems Research, Informatics and Cybernetics (9th : 1997 : Baden-Baden, Germany), eds. Advances in computer cybernetics: Multimedia computing and networking, multimedia presentation, interactive multimedia support systems, multiuser virtual worlds, platform architecture for multimedia tools, management schemes for collaborative computing, program transformation systems, cryptanalysis and cryptosystems, graph transformation framework, simulation based design and development, design and implementation of programming languages, object systems design, abstracting devices. Windsor, Ont: International Institute for Advanced Studies in Systems Research and Cybernetics, 1998.
Знайти повний текст джерелаGabriel, Torok, and Downing Troy, eds. Java primer plus: Supercharging Web applications with the Java programming language. Corte Madera, Calif: Waite Group Press, 1996.
Знайти повний текст джерела1948-, Schifman Richard S., ed. The ultimate Authorware Attain tutorial: An interactive book and CD package. Berlin: Springer, 1999.
Знайти повний текст джерелаЧастини книг з теми "Multimedia information objects"
Das, Madirakshi, Alexander C. Loui, and Andrew C. Blose. "Visual Feature Localization for Detecting Unique Objects in Images." In Multimedia Information Extraction, 45–61. Hoboken, NJ, USA: John Wiley & Sons, Inc., 2012. http://dx.doi.org/10.1002/9781118219546.ch3.
Повний текст джерелаFuhr, Norbert. "Information Retrieval Methods for Multimedia Objects." In Computational Imaging and Vision, 191–212. Dordrecht: Springer Netherlands, 2001. http://dx.doi.org/10.1007/978-94-015-9664-0_9.
Повний текст джерелаPapadopoulos, Georgios Th, Vasileios Mezaris, Ioannis Kompatsiaris, and Michael G. Strintzis. "Ontology-Driven Semantic Video Analysis Using Visual Information Objects." In Semantic Multimedia, 56–69. Berlin, Heidelberg: Springer Berlin Heidelberg, 2007. http://dx.doi.org/10.1007/978-3-540-77051-0_5.
Повний текст джерелаQiu, Bingyu, and Keiji Yanai. "Objects over the World." In Advances in Multimedia Information Processing - PCM 2008, 296–305. Berlin, Heidelberg: Springer Berlin Heidelberg, 2008. http://dx.doi.org/10.1007/978-3-540-89796-5_31.
Повний текст джерелаGiró, Xavier, Verónica Vilaplana, Ferran Marqués, and Philippe Salembier. "Automatic Extraction and Analysis of Visual Objects Information." In Multimedia Content and the Semantic Web, 203–21. Chichester, UK: John Wiley & Sons, Ltd, 2005. http://dx.doi.org/10.1002/0470012617.ch7.
Повний текст джерелаLiu, Ming-Gang, and Chao-Huan Hou. "Automatic Segmentation and Tracking of Moving Objects." In Advances in Multimedia Information Processing — PCM 2001, 214–21. Berlin, Heidelberg: Springer Berlin Heidelberg, 2001. http://dx.doi.org/10.1007/3-540-45453-5_28.
Повний текст джерелаPal, Rajarshi, Pabitra Mitra, and Jayanta Mukhopadhyay. "ICam: Maximizes Viewers’ Attention on Intended Objects." In Advances in Multimedia Information Processing - PCM 2008, 821–24. Berlin, Heidelberg: Springer Berlin Heidelberg, 2008. http://dx.doi.org/10.1007/978-3-540-89796-5_90.
Повний текст джерелаZhang, Wenli, Shunsuke Kamijyo, and Masao Sakauchi. "An Annotated-Objects Assist Method for Extraction of Ordinary-Objects in a Video Content Generation Support System." In Advances in Multimedia Information Processing - PCM 2004, 487–96. Berlin, Heidelberg: Springer Berlin Heidelberg, 2004. http://dx.doi.org/10.1007/978-3-540-30541-5_60.
Повний текст джерелаErol, Berna, and Faouzi Kossentini. "Color Content Matching of MPEG-4 Video Objects." In Advances in Multimedia Information Processing — PCM 2001, 891–96. Berlin, Heidelberg: Springer Berlin Heidelberg, 2001. http://dx.doi.org/10.1007/3-540-45453-5_117.
Повний текст джерелаPark, Sojung, and Minhwan Kim. "Extracting Moving / Static Objects of Interest in Video." In Advances in Multimedia Information Processing - PCM 2006, 722–29. Berlin, Heidelberg: Springer Berlin Heidelberg, 2006. http://dx.doi.org/10.1007/11922162_83.
Повний текст джерелаТези доповідей конференцій з теми "Multimedia information objects"
Lee, Chia-Ming, Shang-Rong Tsai, Yu-Sheng Huang, Yuan-Liang Tai, Guang-Hung Huang, and Hewi-Jin Jiau. "Information Objects Encapsulating Multimedia and Intelligence." In 2009 Fifth International Conference on Intelligent Information Hiding and Multimedia Signal Processing. IIH-MSP 2009. IEEE, 2009. http://dx.doi.org/10.1109/iih-msp.2009.153.
Повний текст джерелаOhkawara, Tadateru, Ailixier Aikebaier, Tomoya Enokido, and Makoto Takizawa. "Completable Quorums of Multimedia Objects." In 2012 IEEE 26th International Conference on Advanced Information Networking and Applications (AINA). IEEE, 2012. http://dx.doi.org/10.1109/aina.2012.135.
Повний текст джерелаAminzou, Said, Mustapha Machkour, Youness Idrissi Khamlichi, Karim Afdel, and Brahim Er-Raha. "Secure multimedia objects management in medical information system." In 2012 National Days of Network Security and Systems (JNS2). IEEE, 2012. http://dx.doi.org/10.1109/jns2.2012.6249251.
Повний текст джерела"MIGRATING LEGACY VIDEO LECTURES TO MULTIMEDIA LEARNING OBJECTS." In 8th International Conference on Enterprise Information Systems. SciTePress - Science and and Technology Publications, 2006. http://dx.doi.org/10.5220/0002447300510058.
Повний текст джерела"A NEW SUPPORT FOR OBJECTS CLASSIFICATION IN MULTIMEDIA INFORMATION RETRIEVAL." In 6th International Conference on Web Information Systems and Technologies. SciTePress - Science and and Technology Publications, 2010. http://dx.doi.org/10.5220/0002809902260233.
Повний текст джерелаBolettieri, Paolo, Fabrizio Falchi, Claudio Gennaro, and Fausto Rabitti. "Automatic metadata extraction and indexing for reusing e-learning multimedia objects." In Workshop on multimedia information retrieval. New York, New York, USA: ACM Press, 2007. http://dx.doi.org/10.1145/1290067.1290072.
Повний текст джерелаBurdescu, Dumitru Dan, Liana Stanescu, Marius Brezovan, Florin Slabu, and Daniel Ebanca. "Multimedia data for efficient detection of visual objects." In IMCOM '17: The 11th International Conference on Ubiquitous Information Management and Communication. New York, NY, USA: ACM, 2017. http://dx.doi.org/10.1145/3022227.3022287.
Повний текст джерелаOhkawara, Tadateru, Ailixier Aikebaier, Tomoya Enokido, and Makoto Takizawa. "Quorum-Based Replication of Multimedia Objects in Distributed Systems." In 2011 14th International Conference on Network-Based Information Systems (NBiS). IEEE, 2011. http://dx.doi.org/10.1109/nbis.2011.57.
Повний текст джерелаLosavio, Michael Martin, Pavel Pastukov, and Svetlana Polyakova. "Multimedia Objects and Forensic Determinations of Criminal Responsibility." In 2022 IEEE 9th International Conference on Sciences of Electronics, Technologies of Information and Telecommunications (SETIT). IEEE, 2022. http://dx.doi.org/10.1109/setit54465.2022.9875452.
Повний текст джерелаDahmani, Djaouida, Samia Mazouz, and Malika Boukala. "Modular modeling and analyzing of multimedia documents with repetitive objects." In 2013 5th International Conference on Computer Science and Information Technology (CSIT). IEEE, 2013. http://dx.doi.org/10.1109/csit.2013.6588797.
Повний текст джерелаЗвіти організацій з теми "Multimedia information objects"
Rigotti, Christophe, and Mohand-Saïd Hacid. Representing and Reasoning on Conceptual Queries Over Image Databases. Aachen University of Technology, 1999. http://dx.doi.org/10.25368/2022.89.
Повний текст джерелаRigotti, Christophe, and Mohand-Saïd Hacid. Representing and Reasoning on Conceptual Queries Over Image Databases. Aachen University of Technology, 1999. http://dx.doi.org/10.25368/2022.89.
Повний текст джерелаDecleir, Cyril, Mohand-Saïd Hacid, and Jacques Kouloumdjian. A Database Approach for Modeling and Querying Video Data. Aachen University of Technology, 1999. http://dx.doi.org/10.25368/2022.90.
Повний текст джерелаModlo, Yevhenii O., Serhiy O. Semerikov, Stanislav L. Bondarevskyi, Stanislav T. Tolmachev, Oksana M. Markova, and Pavlo P. Nechypurenko. Methods of using mobile Internet devices in the formation of the general scientific component of bachelor in electromechanics competency in modeling of technical objects. [б. в.], February 2020. http://dx.doi.org/10.31812/123456789/3677.
Повний текст джерелаTkachuk, Viktoriia, Serhiy Semerikov, Yuliia Yechkalo, Svitlana Khotskina, and Vladimir Soloviev. Selection of Mobile ICT for Learning Informatics of Future Professionals in Engineering Pedagogy. [б. в.], October 2020. http://dx.doi.org/10.31812/123456789/4127.
Повний текст джерела