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Artykuły w czasopismach na temat "Prédiction de vidéos"
Namir, K., N. Belarbi, H. Benlahmer i A. Namir. "Prédiction de l’intérêt dans un SPOC". J3eA 21 (2022): 2016. http://dx.doi.org/10.1051/j3ea/20222016.
Pełny tekst źródłaGilliotte, Quentin, i Emmanuelle Guittet. "La production individuelle et collective des bonnes pratiques dans une activité non encadrée. Étude de cas d’un conflit entre praticien·nes de la cartomancie en ligne". Sociologies pratiques N° 46, nr 1 (27.06.2023): 31–41. http://dx.doi.org/10.3917/sopr.046.0031.
Pełny tekst źródłaBonnet, Flavio, i Romain Beaufort. "Règle de prédiction clinique et douleur acromio-claviculaire : une étude de cas suivi à 8mois avec vidéo". Kinésithérapie, la Revue 15, nr 162 (czerwiec 2015): 57–62. http://dx.doi.org/10.1016/j.kine.2015.02.014.
Pełny tekst źródłaSt-Arnaud, M., i P. Neumann. "Un modèle d’estimation de l’état d’avancement de la période d’infection primaire par le Venturia inaequalis en verger de pommiers". Phytoprotection 71, nr 2 (12.04.2005): 73–84. http://dx.doi.org/10.7202/705985ar.
Pełny tekst źródłaMortenson, W. Ben, Andrew Sixsmith i David Kaufman. "Non-Digital Game Playing by Older Adults". Canadian Journal on Aging / La Revue canadienne du vieillissement 36, nr 3 (22.06.2017): 342–50. http://dx.doi.org/10.1017/s0714980817000162.
Pełny tekst źródłaAhallal, Y., W. Tayeb, R. Stefanescu, G. Paleschi, A. Pastore, A. Carbone i A. Messas. "Corrélation anatomo-clinique et détermination des facteurs prédictifs de continence après prostatectomie radicale : analyse rétrospective des vidéos et des données cliniques de 120 patients opérés de prostatectomie radicale laparoscopique". Progrès en Urologie 25, nr 13 (listopad 2015): 797. http://dx.doi.org/10.1016/j.purol.2015.08.161.
Pełny tekst źródłaSACRAMENTO, Isabelle Tèniola, Guy Apollinaire MENSAH i Jean-Marc ATEGBO. "Détermination de l’âge de l’aulacode par le poids du cristallin de l’œil". Journal of Applied Biosciences 181 (31.01.2023): 18917–24. http://dx.doi.org/10.35759/jabs.181.4.
Pełny tekst źródłaLacerda, P., J. Leston, J.-C. Froment i M. Sindou. "Névralgie trigéminale (NT) par conflit vasculonerveux (CVN) : valeur de l’IRM préopératoire dans la prédiction du degré de compression vasculaire et son intérêt dans le choix thérapeutique de la décompression vasculaire microchirurgicale (DVMC) (vidéo-démonstration)". Neurochirurgie 54, nr 5 (październik 2008): 675. http://dx.doi.org/10.1016/j.neuchi.2008.08.027.
Pełny tekst źródłaRitchie, Emma V., Karli Rapinda, Jeffrey D. Wardell, Hyoun S. Kim i Matthew T. Keough. "A Longitudinal Study of Gaming Patterns During the First 11 Months of the COVID-19 Pandemic". Canadian Journal of Addiction 14, nr 3 (wrzesień 2023): 22–32. http://dx.doi.org/10.1097/cxa.0000000000000181.
Pełny tekst źródłaWells, Patrick, Karen Goodnough, Gerald Galway i Saiqa Azam. "Remote Science Inquiry Instruction (RSII) for Motion on an Inclined Plane". International Journal of E-Learning & Distance Education / Revue internationale du e-learning et la formation à distance 37, nr 2 (22.12.2022). http://dx.doi.org/10.55667/ijede.2022.v37.i2.1260.
Pełny tekst źródłaRozprawy doktorskie na temat "Prédiction de vidéos"
Marat, Sophie. "Modèles de saillance visuelle par fusion d'informations sur la luminance, le mouvement et les visages pour la prédiction de mouvements oculaires lors de l'exploration de vidéos". Phd thesis, Grenoble INPG, 2010. http://tel.archives-ouvertes.fr/tel-00497787.
Pełny tekst źródłaMarat, Sophie. "Modèles de saillance visuelle par fusion d'informations sur la luminance, le mouvement et les visages pour la prédiction de mouvements oculaires lors de l'exploration de vidéos". Phd thesis, Grenoble INPG, 2010. http://www.theses.fr/2010INPG0012.
Pełny tekst źródłaHuang, Bihong. "Second-order prediction and residue vector quantization for video compression". Thesis, Rennes 1, 2015. http://www.theses.fr/2015REN1S026/document.
Pełny tekst źródłaVideo compression has become a mandatory step in a wide range of digital video applications. Since the development of the block-based hybrid coding approach in the H.261/MPEG-2 standard, new coding standard was ratified every ten years and each new standard achieved approximately 50% bit rate reduction compared to its predecessor without sacrificing the picture quality. However, due to the ever-increasing bit rate required for the transmission of HD and Beyond-HD formats within a limited bandwidth, there is always a requirement to develop new video compression technologies which provide higher coding efficiency than the current HEVC video coding standard. In this thesis, we proposed three approaches to improve the intra coding efficiency of the HEVC standard by exploiting the correlation of intra prediction residue. A first approach based on the use of previously decoded residue shows that even though gains are theoretically possible, the extra cost of signaling could negate the benefit of residual prediction. A second approach based on Mode Dependent Vector Quantization (MDVQ) prior to the conventional transformed scalar quantization step provides significant coding gains. We show that this approach is realistic because the dictionaries are independent of QP and of a reasonable size. Finally, a third approach is developed to modify dictionaries gradually to adapt to the intra prediction residue. A substantial gain is provided by the adaptivity, especially when the video content is atypical, without increasing the decoding complexity. In the end we get a compromise of complexity and gain for a submission in standardization
Franceschi, Jean-Yves. "Apprentissage de représentations et modèles génératifs profonds dans les systèmes dynamiques". Electronic Thesis or Diss., Sorbonne université, 2022. http://www.theses.fr/2022SORUS014.
Pełny tekst źródłaThe recent rise of deep learning has been motivated by numerous scientific breakthroughs, particularly regarding representation learning and generative modeling. However, most of these achievements have been obtained on image or text data, whose evolution through time remains challenging for existing methods. Given their importance for autonomous systems to adapt in a constantly evolving environment, these challenges have been actively investigated in a growing body of work. In this thesis, we follow this line of work and study several aspects of temporality and dynamical systems in deep unsupervised representation learning and generative modeling. Firstly, we present a general-purpose deep unsupervised representation learning method for time series tackling scalability and adaptivity issues arising in practical applications. We then further study in a second part representation learning for sequences by focusing on structured and stochastic spatiotemporal data: videos and physical phenomena. We show in this context that performant temporal generative prediction models help to uncover meaningful and disentangled representations, and conversely. We highlight to this end the crucial role of differential equations in the modeling and embedding of these natural sequences within sequential generative models. Finally, we more broadly analyze in a third part a popular class of generative models, generative adversarial networks, under the scope of dynamical systems. We study the evolution of the involved neural networks with respect to their training time by describing it with a differential equation, allowing us to gain a novel understanding of this generative model
Luc, Pauline. "Apprentissage autosupervisé de modèles prédictifs de segmentation à partir de vidéos". Thesis, Université Grenoble Alpes (ComUE), 2019. http://www.theses.fr/2019GREAM024/document.
Pełny tekst źródłaPredictive models of the environment hold promise for allowing the transfer of recent reinforcement learning successes to many real-world contexts, by decreasing the number of interactions needed with the real world.Video prediction has been studied in recent years as a particular case of such predictive models, with broad applications in robotics and navigation systems.While RGB frames are easy to acquire and hold a lot of information, they are extremely challenging to predict, and cannot be directly interpreted by downstream applications.Here we introduce the novel tasks of predicting semantic and instance segmentation of future frames.The abstract feature spaces we consider are better suited for recursive prediction and allow us to develop models which convincingly predict segmentations up to half a second into the future.Predictions are more easily interpretable by downstream algorithms and remain rich, spatially detailed and easy to obtain, relying on state-of-the-art segmentation methods.We first focus on the task of semantic segmentation, for which we propose a discriminative approach based on adversarial training.Then, we introduce the novel task of predicting future semantic segmentation, and develop an autoregressive convolutional neural network to address it.Finally, we extend our method to the more challenging problem of predicting future instance segmentation, which additionally segments out individual objects.To deal with a varying number of output labels per image, we develop a predictive model in the space of high-level convolutional image features of the Mask R-CNN instance segmentation model.We are able to produce visually pleasing segmentations at a high resolution for complex scenes involving a large number of instances, and with convincing accuracy up to half a second ahead
Poulin, Roxanne. "Prédiction de l'expérience plaisante en fonction de la performance, la difficulté et la familiarité au jeu en contexte de jeux vidéo". Master's thesis, Université Laval, 2018. http://hdl.handle.net/20.500.11794/30224.
Pełny tekst źródłaGoncalves, Gomes Danielo. "Un modèle connexionniste pour la prédiction et l'optimisation de la bande passante : Approche basée sur la nature autosimilaire du trafic vidéo". Evry-Val d'Essonne, 2004. http://www.theses.fr/2004EVRY0021.
Pełny tekst źródłaThe objective of this thesis is the bandwidth forecasting optimization of a MPEG-4 video flow aggregate in a scenario of provisioning of Video on Demand (VoD) service over Internet. The proposed approach takes into account the self-similar nature of the IP traffic to estimate the Hurst parameter. This metric characterizes the degree of self-similarity of a process such as Internet traffic. A first contribution of this thesis is the design and implementation of a connectionist model which estimates and predicts the Husrt parameter of an aggregate video traffic. A new model called Predictive Connectionist Model (PCM) has been defined and is trained with MPEG traces patterns. The estimation of the bandwidth utilisation is achieved using two prediction techniques which evaluated and compared. Another contribution of this thesis is the integration of the Predictive Connectionist Model in a dynamic provisioning system between a VoD provider and an ISP (Internet Service Provider). This system is designed according to the Policy Based Management architecture of IETF (Internet Engineering Task Force) and is implemented using Web technologies
Favreau, Laurent. "Modélisation du mouvement des quadrupèdes à partir de la vidéo". Phd thesis, Grenoble INPG, 2006. http://tel.archives-ouvertes.fr/tel-00379321.
Pełny tekst źródłaThiesse, Jean-Marc. "Codage vidéo flexible par association d'un décodeur intelligent et d'un encodeur basé optimisation débit-distorsion". Nice, 2012. http://www.theses.fr/2012NICE4058.
Pełny tekst źródłaThis Ph. D. Thesis deals with the improvement of video compression efficiency. Both conventional and breakthrough approaches are investigated in order to propose efficient methods for Intra and Inter coding dedicated to next generations video coding standards. Two tools are studied for the conventional approach. First, syntax elements are cleverly transmitted using a data hiding based method which allows embedding indices into the luminance and chrominance residuals in an optimal way, rate-distortion wise. Secondly, the large motion redundancies are exploited to improve the motion vectors coding. After a statistical analysis of the previously used vectors, an accurate forecast is performed to favor some vector residuals during a last step which modifies the original residual distribution. 90% of the coded vectors are efficiently forecasted by this method which helps to significantly reduce their coding cost. The breakthrough approach comes from the observation of the H. 264/AVC standard and its successor HEVC which are based on a predictive scheme with multiple coding choices, consequently future improvements shall improve texture by extensively using the competition between many coding modes. However, such schemes are bounded by the cost generated by the signaling flags and therefore it is required to transfer some decisions to the decoder side. A framework based on the determination of encoding parameters at both encoder and decoder side is consequently proposed and applied to Intra prediction modes on the one hand, and to the emerging theory of compressed sensing on the other hand. Promising results are reported and confirm the potential of such an innovative solution
Moinard, Matthieu. "Codage vidéo hybride basé contenu par analyse/synthèse de données". Phd thesis, Telecom ParisTech, 2011. http://tel.archives-ouvertes.fr/tel-00830924.
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