Academic literature on the topic 'Analyse de contenu vidéo'
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Journal articles on the topic "Analyse de contenu vidéo"
Gray, Garry C., and Tomas Nikolakakos. "The Self-Regulation of Virtual Reality: Issues of Voluntary Compliance and Enforcement in the Video Game Industry." Canadian journal of law and society 22, no. 1 (April 2007): 93–108. http://dx.doi.org/10.1017/s0829320100009133.
Full textGonzalez-Galvan, Osiris, and Alexandra Espín-Espinoza. "Promouvoir la saine alimentation sur Facebook Live : vers de nouvelles compétences communicationnelles dans les organisations de santé publique ?" Revue Communication & professionnalisation, no. 11 (February 23, 2021): 16–43. http://dx.doi.org/10.14428/rcompro.vi11.53343.
Full textBégin, Mathieu. "Quand des adolescents font une vidéo sur la cyberintimidation : une action citoyenne ?1." Lien social et Politiques, no. 80 (March 22, 2018): 128–48. http://dx.doi.org/10.7202/1044113ar.
Full textIto, Hiromi. "La traduction sous contrainte – une expérience d’enseignement de sous-titrage en traduction pragmatique de l’anglais en japonais." FORUM / Revue internationale d’interprétation et de traduction / International Journal of Interpretation and Translation 16, no. 1 (September 27, 2018): 142–65. http://dx.doi.org/10.1075/forum.00009.ito.
Full textQiu, Lihong, and Robin Bedding. "A rapid method for the estimation of mean dry weight and lipid content of the infective juveniles of entomopathogenic nematodes using image analysis." Nematology 1, no. 6 (1999): 655–60. http://dx.doi.org/10.1163/156854199508612.
Full textCaron, Caroline. "Les jeunes et l’expérience participative en ligne." Partie 1 — Les nouveaux canaux d’expression publique de l’arrière-scène participative, no. 71 (May 2, 2014): 13–30. http://dx.doi.org/10.7202/1024736ar.
Full textQuellec, Gwénolé, Mathieu Lamard, Guy Cazugel, Zakarya Quellec, Béatrice Cochener, and Christian Roux. "Recherche en temps réel de séquences vidéo similaires par le contenu." Traitement du signal 29, no. 1-2 (April 28, 2012): 83–100. http://dx.doi.org/10.3166/ts.29.83-100.
Full textVanoutrive, Johan, Antoine Derobertmasure, and Nathanaël Friant. "Analyse thématique et analyse propositionnelle." Mesure et évaluation en éducation 35, no. 2 (May 2, 2014): 97–123. http://dx.doi.org/10.7202/1024722ar.
Full textVarro, Gabrielle. "Analyse de contenu et analyse de discours : à propos du prénom." Sociétés contemporaines 18, no. 1 (1994): 121–44. http://dx.doi.org/10.3406/socco.1994.1167.
Full textJanik, Sophie. "L’intégration sociale des personnes handicapées : analyse d’une bibliographie." Documentation et bibliothèques 37, no. 2 (February 4, 2015): 59–62. http://dx.doi.org/10.7202/1028447ar.
Full textDissertations / Theses on the topic "Analyse de contenu vidéo"
Cámara, Chávez Guillermo. "Analyse du contenu vidéo par apprentissage actif." Cergy-Pontoise, 2007. http://www.theses.fr/2007CERG0380.
Full textThis thesis presents work towards a unified framework for semi-automated video indexing and interactive retrieval. To create an efficient index, a set of representative key frames are selected from the entire video content. We developed an automatic shot boundary detection algorithm to get rid of parameters and thresholds. We adopted a SVM classifier due to its ability to use very high dimensional feature spaces while at the same time keeping strong generalization guarantees from few training examples. We deeply evaluated the combination of features and kernels and present interesting results obtained, for shot extraction TRECVID 2006 Task. We then propose an interactive video retrieval system: RETINVID, to significantly reduce the number of key frames annotated by the user. The key frames are selected based on their ability to increase the knowledge of the data. We perform an experiment against the 2005 TRECVID benchmark for high-level task
Decombas, Marc. "Compression vidéo très bas débit par analyse du contenu." Thesis, Paris, ENST, 2013. http://www.theses.fr/2013ENST0067/document.
Full textThe objective of this thesis is to find new methods for semantic video compatible with a traditional encoder like H.264/AVC. The main objective is to maintain the semantic and not the global quality. A target bitrate of 300 Kb/s has been fixed for defense and security applications. To do that, a complete chain of compression has been proposed. A study and new contributions on a spatio-temporal saliency model have been done to extract the important information in the scene. To reduce the bitrate, a resizing method named seam carving has been combined with the H.264/AVC encoder. Also, a metric combining SIFT points and SSIM has been created to measure the quality of objects without being disturbed by less important areas containing mostly artifacts. A database that can be used for testing the saliency model but also for video compression has been proposed, containing sequences with their manually extracted binary masks. All the different approaches have been thoroughly validated by different tests. An extension of this work on video summary application has also been proposed
Moinard, Matthieu. "Codage vidéo hybride basé contenu par analyse/synthèse de données." Phd thesis, Telecom ParisTech, 2011. http://tel.archives-ouvertes.fr/tel-00830924.
Full textBlanc, Katy. "Description de contenu vidéo : mouvements et élasticité temporelle." Thesis, Université Côte d'Azur (ComUE), 2018. http://www.theses.fr/2018AZUR4212/document.
Full textVideo recognition gain in performance during the last years, especially due to the improvement in the deep learning performances on images. However the jump in recognition rate on images does not directly impact the recognition rate on videos. This limitation is certainly due to this added dimension, the time, on which a robust description is still hard to extract. The recurrent neural networks introduce temporality but they have a limited memory. State of the art methods for video description usually handle time as a spatial dimension and the combination of video description methods reach the current best accuracies. However the temporal dimension has its own elasticity, different from the spatial dimensions. Indeed, the temporal dimension of a video can be locally deformed: a partial dilatation produces a visual slow down during the video, without changing the understanding, in contrast with a spatial dilatation on an image which will modify the proportions of the shown objects. We can thus expect to improve the video content classification by creating an invariant description to these speed changes. This thesis focus on the question of a robust video description considering the elasticity of the temporal dimension under three different angles. First, we have locally and explicitly described the motion content. Singularities are detected in the optical flow, then tracked along the time axis and organized in chain to describe video part. We have used this description on sport content. Then we have extracted global and implicit description thanks to tensor decompositions. Tensor enables to consider a video as a multi-dimensional data table. The extracted description are evaluated in a classification task. Finally, we have studied speed normalization method thanks to Dynamical Time Warping methods on series. We have showed that this normalization improve the classification rates
Dhollande, Nicolas. "Optimisation du codage HEVC par des moyens de pré-analyse et/ou pré-codage du contenu." Thesis, Rennes 1, 2016. http://www.theses.fr/2016REN1S113.
Full textThe High Efficiency Video Coding (HEVC) standard was released in 2013 which reduced network bandwidth by a factor of 2 compared to the prior standard H.264/AVC. These gains are achieved by a very significant increase in the encoding complexity. Especially with the industrial demand to shift in format from High Definition (HD) to Ultra High Definition (UHD), one can understand the relevance of complexity reduction techniques to develop cost-effective encoders. In our first contribution, we attempted new strategies to reduce the encoding complexity of Intra-pictures. We proposed a method with inference rules on the coding modes from the modes obtained with pre-encoding of the UHD video down-sampled in HD. We, then, proposed a fast partitioning method based on a pre-analysis of the content. The first method reduced the complexity by a factor of 3x and the second one, by a factor of 6, with a loss of compression efficiency of 5%. As a second contribution, we adressed the Inter-pictures. By implementing inference rules in the UHD encoder, from a HD pre-encoding pass, the encoding complexity is reduced by a factor of 3x when both HD and UHD encodings are considered, and by 9.2x on just the UHD encoding, with a loss of compression efficiency of 3%. Combined with an encoding configuration imitating a real system, our approach reduces the complexity by a factor of close to 2x with 4% of loss. These strategies built during this thesis offer encouraging prospects for implementation of low complexity HEVC UHD encoders. They are fully adapted to the WebTV/OTT segment that is playing a growing part in the video delivery, in which the video signal is encoded with different resolution to reach heterogeneous devices and network capacities
Wehbe, Hassan. "Synchronisation automatique d'un contenu audiovisuel avec un texte qui le décrit." Thesis, Toulouse 3, 2016. http://www.theses.fr/2016TOU30104/document.
Full textWe address the problem of automatic synchronization of an audiovisual content with a procedural text that describes it. The strategy consists in extracting pieces of information about the structure from both contents, and in matching them depending on their types. We propose two video analysis tools that respectively extract: * Limits of events of interest using an approach inspired by dictionary quantization. * Segments that enclose a repeated action based on the YIN frequency analysis method. We then propose a synchronization system that merges results coming from these tools in order to establish links between textual instructions and the corresponding video segments. To do so, a "Confidence Matrix" is built and recursively processed in order to identify these links in respect with their reliability
Souvannavong, Fabrice. "Indexation et recherche de plans vidéo par le contenu sémantique." Phd thesis, Télécom ParisTech, 2005. http://pastel.archives-ouvertes.fr/pastel-00001298.
Full textDemarty, Claire-Hélène. "Segmentation et structuration d'un document vidéo pour la caractérisation et l'indexation de son contenu sémantique." Phd thesis, École Nationale Supérieure des Mines de Paris, 2000. http://pastel.archives-ouvertes.fr/pastel-00003303.
Full textDon, Anthony. "Indexation et navigation dans les contenus visuels : approches basées sur les graphes." Bordeaux 1, 2006. http://www.theses.fr/2006BOR13258.
Full textLe, Guen Benjamin. "Adaptation du contenu spatio-temporel des images pour un codage par ondelettes." Phd thesis, Université Rennes 1, 2008. http://tel.archives-ouvertes.fr/tel-00355207.
Full textDans cette thèse, nous proposons d'aborder le problème d'adaptativité sous un angle différent. L'idée est de déformer le contenu d'une image pour l'adapter au noyau d'ondelette séparable standard. La déformation est modélisée par un maillage déformable et le critère d'adaptation utilisé est le coût de description de l'image déformée. Une minimisation énergétique similaire à une estimation de mouvement est mise en place pour calculer les paramètres du maillage. A l'issue de cette phase d'analyse, l'image est représentée par une image déformée de moindre coût de codage et par les paramètres de déformation. Après codage, transmission et décodage de ces inforrnations, l'image d'origine peut être synthétisée en inversant la déformation. Les performances en compression de ce schéma par analyse-synthèse spatiales sont étudiées et comparées à celles de JPEG2000. Visuellement, on observe une meilleure reconstruction des contours des images avec une atténuation significative de l'effet rebond.
Conservant l'idée d'adapter le contenu des images à un noyau de décomposition fixe, nous proposons ensuite un schéma de codage par analyse-synthèse spatio-temporelles dédié à la vidéo. L'analyse prend en entrée un groupe d'images (GOF) et génère en sortie un groupe d'images déformées dont le contenu est adapté à une décomposition 3D horizontale-verticale-temporelle fixe. Le schéma est conçu de sorte qu'une seule géométrie soit estimée et transmise pour l'ensemble du GOF. Des résultats de compression sont présentés en utilisant le maillage déformable pour modéliser la géométrie et le mouvement. Bien qu'une seule géométrie soit encodée, nous montrons que son coût est trop important pour permettre une amélioration significative de la qualité visuelle par rapport à un schéma par analyse-synthèse exploitant uniquement le mouvement.
Books on the topic "Analyse de contenu vidéo"
Bardin, Laurence. L' analyse de contenu. 7th ed. Paris: Presses universitaires de France, 1993.
Find full textBardin, Laurence. L' analyse de contenu. 9th ed. Paris: Presses universitaires de France, 2001.
Find full textAnnick, Bouillaguet, ed. L' analyse de contenu. Paris: Presses universitaires de France, 1997.
Find full textGhiglione, Rodolphe. Analyse de contenu et contenus d'analyses. Paris: Dunod, 1991.
Find full textVettraino-Soulard, Marie-Claude. Lire une image: Analyse de contenu iconique. Paris: Armand Colin, 1993.
Find full textMucchielli, Roger. L' Analyse de contenu des documents et des communications: Connaissance du problème, applications pratiques. 6th ed. Paris: Editions ESF, 1988.
Find full textDuchastel, Jules. Système d\U+2019\analyse de contenu assistée par ordinateur (SACAO). Chicoutimi: J.-M. Tremblay, 2012. http://dx.doi.org/10.1522/030430804.
Full textMarcotte, Philippe. La presse hebdomadaire régionale du Québec: Analyse de l'évolution de son contenu. Sainte-Foy, Québec: Centre d'études sur les médias, 2007.
Find full textBook chapters on the topic "Analyse de contenu vidéo"
Otsuka, Isao, Sam Shipman, and Ajay Divakaran. "A Video Browsing enabled Personal Video Recorder." In Multimedia Content Analysis, 1–12. Boston, MA: Springer US, 2008. http://dx.doi.org/10.1007/978-0-387-76569-3_14.
Full textHua, Xian-Sheng, and Hong-Jiang Zhang. "Automatic Home Video Editing." In Multimedia Content Analysis, 1–35. Boston, MA: Springer US, 2008. http://dx.doi.org/10.1007/978-0-387-76569-3_13.
Full textHauptmann, Alexander. "Video Content Analysis." In Encyclopedia of Database Systems, 1–8. New York, NY: Springer New York, 2016. http://dx.doi.org/10.1007/978-1-4899-7993-3_1018-2.
Full textHauptmann, Alexander. "Video Content Analysis." In Encyclopedia of Database Systems, 4381–88. New York, NY: Springer New York, 2018. http://dx.doi.org/10.1007/978-1-4614-8265-9_1018.
Full textHauptmann, Alexander. "Video Content Analysis." In Encyclopedia of Database Systems, 3271–76. Boston, MA: Springer US, 2009. http://dx.doi.org/10.1007/978-0-387-39940-9_1018.
Full textZhu, Guangyu, Changsheng Xu, and Qingming Huang. "Sports Video Analysis: From Semantics to Tactics." In Multimedia Content Analysis, 1–44. Boston, MA: Springer US, 2008. http://dx.doi.org/10.1007/978-0-387-76569-3_11.
Full textWilson, Kevin W., and Ajay Divakaran. "Broadcast Video Content Segmentation by Supervised Learning." In Multimedia Content Analysis, 1–17. Boston, MA: Springer US, 2008. http://dx.doi.org/10.1007/978-0-387-76569-3_3.
Full textAnandathirtha, Paresh, K. R. Ramakrishnan, S. Kumar Raja, and Mohan S. Kankanhalli. "Experiential Sampling for Object Detection in Video." In Multimedia Content Analysis, 1–32. Boston, MA: Springer US, 2008. http://dx.doi.org/10.1007/978-0-387-76569-3_7.
Full textChristel, Michael G. "Assessing the Usability of Video Browsing and Summarization Techniques." In Multimedia Content Analysis, 1–34. Boston, MA: Springer US, 2008. http://dx.doi.org/10.1007/978-0-387-76569-3_9.
Full textWang, Gang, and Tat-Seng Chua. "Capturing Text Semantics for Concept Detection in News Video." In Multimedia Content Analysis, 1–25. Boston, MA: Springer US, 2008. http://dx.doi.org/10.1007/978-0-387-76569-3_5.
Full textConference papers on the topic "Analyse de contenu vidéo"
Maximini, G. "Gestion chirurgicale des défauts osseux verticaux postérieurs." In 66ème Congrès de la SFCO. Les Ulis, France: EDP Sciences, 2020. http://dx.doi.org/10.1051/sfco/20206601010.
Full textDAILLOUX, Damien, Didier RIHOUEY, Jérémy DUGOR, and Bruno CASTELLE. "Analyse critique de l'utilisation des techniques de mesure topographique vidéo comme outil de gestion des plages sableuses." In Journées Nationales Génie Côtier - Génie Civil. Editions Paralia, 2010. http://dx.doi.org/10.5150/jngcgc.2010.053-d.
Full textBaşaran, Meltem. "An Investigation on the Netflix Platform in the Context of Flow Theory." In COMMUNICATION AND TECHNOLOGY CONGRESS. ISTANBUL AYDIN UNIVERSITY, 2021. http://dx.doi.org/10.17932/ctcspc.21/ctc21.025.
Full textChitra, Catherine, and Anitha Julian. "Searching video blogs with integration of context and content analysis." In 2010 International Conference on Innovative Computing Technologies (ICICT). IEEE, 2010. http://dx.doi.org/10.1109/icinnovct.2010.5440090.
Full textOyucu, Saadin, and Huseyin Polat. "Online Video Content Analysis System." In 2018 2nd International Symposium on Multidisciplinary Studies and Innovative Technologies (ISMSIT). IEEE, 2018. http://dx.doi.org/10.1109/ismsit.2018.8567320.
Full textNtirogiannis, Konstantinos, Basilis Gatos, and Ioannis Pratikakis. "Binarization of Textual Content in Video Frames." In 2011 International Conference on Document Analysis and Recognition (ICDAR). IEEE, 2011. http://dx.doi.org/10.1109/icdar.2011.141.
Full textMoreira, Daniel, Siome Goldenstein, and Anderson Rocha. "Sensitive-Video Analysis." In XXX Concurso de Teses e Dissertações da SBC. Sociedade Brasileira de Computação - SBC, 2017. http://dx.doi.org/10.5753/ctd.2017.3466.
Full textReibman, Amy R. "STRATEGIES FOR QUALITY-AWARE VIDEO CONTENT ANALYTICS." In 2018 IEEE Southwest Symposium on Image Analysis and Interpretation (SSIAI). IEEE, 2018. http://dx.doi.org/10.1109/ssiai.2018.8470354.
Full textXu, Min, Jesse S. Jin, and Suhuai Luo. "Personalized video adaptation based on video content analysis." In the 9th International Workshop. New York, New York, USA: ACM Press, 2008. http://dx.doi.org/10.1145/1509212.1509216.
Full textHe, Yun, Cheng Du, and Tao Xie. "Video object analysis for content-based video coding." In Electronic Imaging '99, edited by Kiyoharu Aizawa, Robert L. Stevenson, and Ya-Qin Zhang. SPIE, 1998. http://dx.doi.org/10.1117/12.334694.
Full textReports on the topic "Analyse de contenu vidéo"
Orchard, Michael, and Robert Joyce. Content Analysis of Video Sequences. Fort Belvoir, VA: Defense Technical Information Center, February 2002. http://dx.doi.org/10.21236/ada414069.
Full textBrumby, Steven P. Video Analysis & Search Technology (VAST): Automated content-based labeling and searching for video and images. Office of Scientific and Technical Information (OSTI), May 2014. http://dx.doi.org/10.2172/1133765.
Full textBaluk, Nadia, Natalia Basij, Larysa Buk, and Olha Vovchanska. VR/AR-TECHNOLOGIES – NEW CONTENT OF THE NEW MEDIA. Ivan Franko National University of Lviv, February 2021. http://dx.doi.org/10.30970/vjo.2021.49.11074.
Full textRudyk, Myroslava. COMMUNICATIVE FEATURES OF UKRAINIAN VIDEO BLOGS ON THE EXAMPLE OF YOUTUBE-CHANNELS OF «TORONTO TV», YANINA SOKOLOVA, AND OSTAP DROZDOV. Ivan Franko National University of Lviv, March 2021. http://dx.doi.org/10.30970/vjo.2021.50.11111.
Full textSharova, Iryna. WAYS OF PROMOTING UKRANIAN PUBLISHING HOUSES ON FACEBOOK DURING QUARANTINE. Ivan Franko National University of Lviv, February 2021. http://dx.doi.org/10.30970/vjo.2021.49.11076.
Full textFrantseva, Anastasiya. The video lectures course "Elements of Mathematical Logic" for students enrolled in the Pedagogical education direction, profile Primary education. Frantseva Anastasiya Sergeevna, April 2021. http://dx.doi.org/10.12731/frantseva.0411.14042021.
Full textScoular, Claire, and Ian Teo. Developing strategic plans for an aligned approach to 21st century skills integration. Australian Council for Educational Research, March 2021. http://dx.doi.org/10.37517/978-1-74286-626-0.
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