M. Group, VIA : Video Image Annotation Tool [online] Available : <mklab.iti.gr/project/via>

A. Getnet, C. David, and K. Harald, Enhancing Semantic Video Adaptation Speed through Compressed Domain Adaptation, Proc. of the, 2011.

A. Velibor, K. Hari, and F. Borko, A Survey of Multimedia Content Adaptation for Mobile Devices, Journal of Multimedia Tools and Applications, vol.51, issue.1, pp.379-396, 2011.

A. Rakib, K. Gour, C. Dooley-laurence, and S. , Region-Based Shape Incorporation for Probabilistic Spatio-Temporal Video Object Segmentation In : proc, of the IEEE International Conference on Image Processing (ICIP '06), oct, p.24452448, 2006.

A. Massimiliano, C. Angelo, M. Vincenzo, and S. Lucio, A Formal Model for Video Shot Segmentation and its Application via Animate Vision, Journal of Multimedia Tools and Applications, vol.24, issue.3, pp.253-272, 2004.

A. James and F. , Maintaining Knowledge about Temporal Intervals, Journal of Communications of the ACM, vol.26, issue.11, pp.832-843, 1983.

A. Greg, F. David, and H. Robert, Numbering Systems and Data Representations, Connecting with Computer Science. 2 nd edition, Canada, Cengage Learning, 2010.

A. Francis and J. , Graphs in Statistical Analysis, Journal of American Statistician, vol.27, issue.1, pp.17-21, 1973.

A. T. Tr, Objective Video Quality Measurement Using a Peak- Signal-to-Noise-Ratio (PSNR) Full Reference Technique, American National Standards Institute, Ad Hoc Group on Video Quality Metrics, pp.74-2001, 2001.

A. Sylvain and C. A. , A Survey of Cross-validation Procedures for Model Selection, Journal of Statistics Surveys, vol.4, pp.40-79, 2010.

B. Russell and C. Philip, User Experience Quality : A Conceptual Framework for Goal Setting and Measurement

G. Berhe-hagos, Accès et Adaptation de Contenus Multimédia pour les Systèmes Pervasifs, Thèse informatique. Lyon : INSA de Lyon, 2006.

B. David and T. Kristin, Film Art : An Introduction. McGraw-Hill Humanities, Social Sciences/Languages, vol.10, issue.544, 2004.

B. Sarah, H. Peter, C. Cyril, A. Mark, C. Jan et al., Annotation Based Personalized Adaptation and Presentation of Videos for Mobile Applications, Journal of Multimedia Tools and Applications, vol.55, issue.2, pp.307-331, 2011.

T. F. Chan and L. A. Vese, An Active Contour Model without Edges, IEEE Transactions on Image Processing, vol.10, issue.2, p.266277, 2001.
DOI : 10.1007/3-540-48236-9_13

URL : http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.14.6740

C. Tony, F. Kang, and S. Ha, Error Analysis for Image Inpainting, Journal of Mathematical Imaging and Vision, vol.26, pp.1-2, 2006.

C. Abhijith, C. Priyanka, M. Soumya, and D. Praveen, User Perception of Quality of Distributed Multimedia. Term Paper CIS6930 [online]. University of Florida (UFL), Departement of Computer & Information Science & Engineering Available, 2010.

C. Shih-fu and V. Anthony, Video Adaptation: Concepts, Technologies, and Open Issues, Proceedings of the IEEE, pp.148-158, 2005.
DOI : 10.1109/JPROC.2004.839600

C. Chien-nan, C. Cing-yu, Y. Su-ling, C. Hao-hua, and H. Polly, Measuring the perceptual quality of Skype sources, ACM SIGCOMM Computer Communication Review, vol.42, issue.4, pp.521-526, 2012.
DOI : 10.1145/2377677.2377779

C. Wen-huang, A Semantic Framework for Object-Based and Event-Based Video Content Adaptation, Institute of Networking and Multimedia, 2008.

C. Dorin, M. Peter, and M. Senior, Mean Shift : A Robust Approach toward Feature Space Analysis, Journal of IEEE Transactions on Pattern Analysis and Machine Intelligence, vol.24, issue.5, pp.603-619, 2002.

D. Project and . Danae, Dynamic and distributed Adaptation of scalable multimedia coNtent in a context-Aware Environment [online] Available

D. Stamatia, G. Eirini, L. Georgios, and M. Polyxeni, Kompatsiaris Yiannis. A Survey of Semantic Image and Video Annotation Tools

D. Fred, D. Bagozzi-richard, P. , W. Paul, and R. , User Acceptance of Computer Technology : a Comparison of Two Theoretical Models, Journal of Management Science, aug, vol.35, issue.8, pp.982-1003, 1989.

N. De-cock-jan, V. Stijn, L. Kenneth, . Peter, and . Van-de-walle-rik, Dyadic spatial resolution reduction transcoding for H.264/AVC, Multimedia Systems, vol.12, issue.1, pp.139-149, 2010.
DOI : 10.1007/s00530-009-0180-2

D. Edsger and W. , A Note on Two Problems in Connexion with Graphs, Journal of Numerische Mathematik, vol.1, issue.1, pp.269-271, 1959.

W. Stanislaw, Exact methods for the knapsack problem and its generalizations, European Journal of Operational Research, vol.28, issue.1, pp.3-21, 1987.

M. E. Dyer, N. Kayal, and J. Walker, A branch and bound algorithm for solving the multiple-choice knapsack problem, Journal of Computational and Applied Mathematics, vol.11, issue.2, pp.231-249, 1984.
DOI : 10.1016/0377-0427(84)90023-2

E. Vanessa, B. Nadia, and C. David, Utility Function for Semantic Video Content Adaptation In : Masters and Doctoral Colloquium (MDC) in conjunction with IIWAS '10, dec, p.921924, 2009.

E. Vanessa, C. David, B. Nadia, and B. Lionel, Personalized vIdeo Adaptation Framework (PIAF) : High-Level Semantic Adaptation, Journal of Multimedia Tools and Applications, 2012.

E. Vanessa, J. Martin, A. Bayou-getnet, C. David, and K. Harald, Fine-granularity Semantic Video Annotation : An Approach based on Automatic Shot Level Concept Detection and Object Recognition, International Journal of Pervasive Computing and Communications, vol.9, issue.3, pp.243-269, 2013.

E. Vanessa, J. Martin, C. David, and K. Harald, Semantic Video Content Annotation at the Object Level, Proc. of the 10 th International Conference on Advances in Mobile Computing & Multimedia (MoMM '12), dec. 2012, p.179188, 2012.

F. Bernhard, W. Ingo, O. Eunmi, S. Jeongil, and K. Hae-kwang, Audio Adaptation According to Usage Environment and Perceptual Quality Metrics, IEEE Transactions on Multimedia, vol.7, issue.3, pp.446-453, 2005.

F. Robert, P. Simon, W. Ashley, and W. Erik, HIPR : Hypermedia Image Processing Reference, 1996.

F. Luis, A Picture of Hypervideo Today [online] Available

F. King-sun and M. J. , A survey on image segmentation, Journal of Pattern Recognition, vol.13, issue.1, pp.3-16, 1981.

F. Borko, Encyclopedia of Multimedia, 2008.

G. Panis, H. Andreas, H. Jörg, H. Hermann, K. Harald et al., Bitstream syntax description: a tool for multimedia resource adaptation within MPEG-21, Signal Processing: Image Communication, vol.18, issue.8, pp.721-747, 2003.
DOI : 10.1016/S0923-5965(03)00061-4

URL : http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.488.8526

G. Seymour, The Predictive Sample Reuse Method with Applications, Journal of the American Statistical Association, vol.70, issue.350, pp.320-328, 1975.

G. Gheorghita, T. Johnson, and P. , Quality of Perception : User Quality of Service in Multimedia Presentations, IEEE Transactions on Multimedia, 2005.

R. Grill-spector-kalanit and . Malach, THE HUMAN VISUAL CORTEX, Annual Review of Neuroscience, vol.27, issue.1, pp.649-677, 2004.
DOI : 10.1146/annurev.neuro.27.070203.144220

. Hanjalic-alan and . Xu-li-qun, Affective video content representation and modeling, IEEE Transactions on Multimedia, vol.7, issue.1, pp.143-154, 2005.
DOI : 10.1109/TMM.2004.840618

H. Jon, OntoLog : Flexible Management of Semantic Video Content Annotations, 2005.

H. Michael and K. Cynthia, Nature From Within : Gustav Theodor Fechner and His Psychophysical Worldview, 2004.

Z. Hong-ying and . Qi-cong, A Survey on Digital Image Inpainting, Journal of Image and Graphics, vol.12, issue.1, pp.1-10, 2007.

H. Tobias, H. David, T. Phuoc, T. Kurt, and F. Markus, Testing the IQX Hypothesis for Exponential Interdependency between QoS and QoE of Voice Codecs iLBC and G.711, p.1090

. Wien, Available : <http://eprints.cs.univie.ac, 2008.

I. Iec, Information Technology Multimedia Content Description Interface Part 5 : Multimedia Description Schemes. ISO/IEC 15938-5, 2003.

I. Iec, Information Technology Multimedia Framework (MPEG-21) Part 2 : Digital Item Declaration, ISO, vol.88, 2005.

I. Iec, Information Technology Multimedia framework (MPEG-21) Part 10 : Digital Item Processing, pp.21000-21010, 2006.

I. Iec, Information Technology Multimedia framework (MPEG-21) Part 7 : Digital Item Adaptation, ISO, vol.420, 2007.

I. Iec, Information Technology Coding of Audio-visual Objects Part 10 : Advanced Video Coding. ISO/IEC 14496-10, 2010.

I. Laurent, Quantifying the Contribution of Low-level Saliency to Human Eye Movements in Dynamic Scenes, Visual Cognition, vol.12, issue.6, pp.1093-1123, 2005.

I. Laurent and K. Christof, Comparison of Feature Combination Strategies for Saliency-based Visual Attention Systems, Electronic Imaging'99. International Society for Optics and Photonics, p.473482, 1999.

I. Laurent and K. Christof, Computational Modelling of Visual Attention, Journal of Nature Reviews Neuroscience, vol.2, issue.3, pp.194-203, 2001.

J. Alejandro and C. Shih-fu, A Conceptual Framework for Indexing Visual Information at Multiple Levels, Proc. of the IS&T/SPIE Internet Imaging, p.215, 2000.

L. Klaus, Knowledge-based Multimedia Adaptation for Ubiquitous Multimedia Consumption, Journal of Network and Computer Applications, vol.30, issue.3, pp.958-982, 2007.

J. Dietmar, L. Klaus, T. Christian, and H. Hermann, A knowledge-based Framework for Multimedia Adaptation, Journal of Applied Intelligence, vol.24, issue.2, pp.109-125, 2006.

K. Michael, W. Andrew, and T. Demetri, SNAKES, Int. Journal of Computer Vision, vol.1, issue.4, pp.321-331, 1988.
DOI : 10.1016/B978-141600119-5.50010-X

K. Eiji, New Frontiers in Universal Multimedia Access ITS Report LTS-REPORT-2004-019 [online]. Ecole Polytechnique Fédéral de Lausanne Available : <http://infoscience.epfl.ch/record, 2004.

K. Hans, P. Ulrich, and P. David, Knapsack Problems, 2003.

M. Kimiaei-asadi, Adaptation de Contenu Multimédia avec MPEG-21 : Conversion de Ressources et Adaptation Sémantique de Scènes, Thèse informatique et réseaux. Paris : Ecole Nationale Supérieure des Télécommunications, 2005.

M. Kipp, Anvil -A Generic Annotation Tool for Multimodal Dialogue In : Pro, of the 7 th Europ. Conf. on Speech Communication and Technology (Eurospeech 2001 Scandinavia), sep, 2001.

J. Lachner, A. Lorenz, B. Reiterer, A. Zimmermann, and H. Hellwagner, Challenges Toward User-Centric Multimedia, Second International Workshop on Semantic Media Adaptation and Personalization (SMAP 2007), p.159164, 2007.
DOI : 10.1109/SMAP.2007.35

URL : http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.84.2985

L. Shawn, Sparse Field Methods Georgia Institute of Technology Available : <http://www.shawnlankton. com/wp-content, 2009.

L. Selmer and C. , The Shrinkage of the Coecient of Multiple Correlation, Journal of Educational Psychology, vol.22, issue.1, p.45, 1931.

H. Lausberg and H. Sloetjes, Coding gestural behavior with the NEUROGES-ELAN system, Behavior Research Methods, vol.26, issue.3, pp.841-849, 2009.
DOI : 10.3758/BRM.41.3.841

L. Olivier, L. C. Patrick, and B. Dominique, Predicting visual xations on video based on low-level visual features, Vision Research, vol.47, pp.2483-2498, 2007.

L. Klaus, J. Dietmar, and H. Hermann, A knowledge and Component based Multimedia Adaptation Framework, Proc. of the IEEE 6 th International Symposium on Multimedia Software Engineering, dec, p.1017, 2004.

A. Levin, P. Viola, and Y. Freund, Unsupervised Improvement of Visual Detectors using co-Training, Proc. of the IEEE 9 th International Conference on Computer Vision, p.626633, 2003.

L. Weisi, J. Kuo, and C. , Perceptual Visual Quality Metrics : A Survey, Journal of Visual Communication and Image Representation, vol.22, issue.4, pp.297-312, 2011.

L. Fernando, J. Dietmar, M. José, M. , T. Christian et al., Multimedia Adaptation Decisions Modelled as non-Deterministic Operations, Proc. of the 9 th International Workshop on Image Analysis for Multimedia Interactive Services (WIAMIS '08), p.4649, 2008.

L. Fernando, M. María, and G. Narciso, CAIN-21 : An Extensible and Metadata-Driven Multimedia Adaptation Engine in the MPEG-21 Framework, Semantic Multimedia

L. Fernando, M. María, and G. Narciso, Automatic Adaptation Decision Making using an Image to Video Adaptation Tool in the MPEG-21

L. Fernando, G. Nur, S. Dogan, H. K. Arachchi, M. Mrak et al., Improving Scalable Video Adaptation in a Knowledge-based Framework, Proc. of the 11 th International Workshop on Image Analysis for Multimedia Interactive Services (WIAMIS '2010), apr, p.14, 2010.

M. João and P. Fernando, Using MPEG Standards for Multimedia Customization Signal Process : Image Communication, pp.437-456, 2004.

V. Mahalingam and . Venkatesh, Digital Inpainting Algorithms and Evaluation, 2010.

B. S. Manjunath, S. Salembier-philippe, and . Thomas, Introduction to MPEG-7 : Multimedia Content Description Interface, 2002.

M. Sophie, P. T. Ho, G. Lionel, and G. Nathalie, Pellerin Denis, Guérin-Dugué Anne. Modelling Spatio-temporal Saliency to Predict Gaze Direction for Short Videos, International Journal of Computer Vision, vol.82, issue.3, pp.231-243, 2009.

M. José and M. , MPEG-7 Overview (version 10

J. Wg11n6828, International Organisation for Standardisation , oct Available, 2004.

F. B. Megino and L. V. Sanchez-josé-maría-martínez, Virtual Camera Tools for an Image2Video Application, 2008 Ninth International Workshop on Image Analysis for Multimedia Interactive Services, p.223226, 2008.
DOI : 10.1109/WIAMIS.2008.25

M. Arthur, G. , and A. Harry, Video Summarisation : A Conceptual Framework and Survey of the State of the Art, Journal of Visual Communication and Image Representation, vol.19, issue.2, pp.121-143, 2008.

M. Mu, R. Piotr, M. Andreas, L. Mikolaj, J. Lucjan et al., Framework for the integrated video quality assessment, Multimedia Tools and Applications, vol.26, issue.1, pp.787-817, 2012.
DOI : 10.1007/s11042-011-0946-3

M. Debargha, D. Eric, K. Jae-gon, and W. Yong, Optimal Adaptation Decision-taking for Terminal and Network Quality-of-Service, IEEE Transactions on Multimedia, vol.7, issue.3, pp.454-462, 2005.

N. Jeho, R. Yong-man, H. Youngsik, and K. Munchurl, Visual Content Adaptation According to User Perception Characteristics, IEEE Transactions on Multimedia, vol.7, issue.3, pp.435-445, 2005.

N. Frank and N. Richard, Interactive Point-and-Click Segmentation for Object Removal in Digital Images In : Computer Vision in Human-Computer Interaction, Lecture Notes in Computer Science, vol.3766, issue.131140, 2005.

O. Stanley, S. James, and A. , Fronts Propagating with Curvature-dependent Speed : Algorithms based on Hamilton-Jacobi Formulations, Journal OF Computational Physics, vol.79, issue.1, pp.12-49, 1988.

R. Pastrana-vidal-ricardo, J. Charles, C. Catherine, and C. Hocine, Sporadic frame dropping impact on quality perception, Human Vision and Electronic Imaging IX, p.182193, 2004.
DOI : 10.1117/12.525746

P. Fernando and S. Burnett-ian, Universal Multimedia Experiences for Tomorrow, IEEE Signal Processing Magazine, vol.20, issue.2, pp.63-73, 2003.

P. Margaret, H. , and W. Stephen, A New Standardized Method for Objectively Measuring Video Quality, IEEE Transactions on Broadcasting, vol.50, issue.3, pp.312-322, 2004.

P. David, A minimal algorithm for the multiple-choice knapsack problem, European Journal of Operational Research, vol.83, issue.2, pp.394-410, 1995.

P. Sujeet, T. Keishi, and T. Katsumi, A Query Model to Synthesize Answer Intervals from Indexed Video Units, IEEE Transaction on Knowledge and Data Engeneering, vol.13, issue.5, pp.824-838, 2001.

P. Martin, K. Ingo, and H. Hermann, An MPEG-21-driven Utilitybased Multimedia Adaptation Decision Taking Web Service, Proc. of the 1 st International Conference on Ambient Media and Systems, p.18, 2008.

P. Martin, S. Tibor, and H. Hermann, A Framework for Utilitybased Multimedia Adaptation IEEE Transactions on Circuits and Systems for Video Technology, jun, pp.719-728, 2007.

R. Peter, E. Sebastian, S. Raimund, and D. Alessandro, The Logarithmic Nature of QoE and the Role of the Weber-Fechner Law in QoE Assessment, Proc. of the 2010 IEEE International Conference on Communications (ICC '10), p.15, 2010.

R. Wei, S. Sameer, S. Maneesha, and Z. Yuesheng, State-of-the-Art on Spatio-temporal Information-based Video Retrieval, Journal of Pattern Recognition, vol.42, issue.2, pp.267-282, 2009.

R. Ronald, A. O-'regan, J. Kevin, C. James, and J. , To see or not to See : The Need for Attention to Perceive Changes in Scenes, Journal of Psychological Science, vol.8, issue.5, pp.368-373, 1997.

R. Dieter, P. Chris, V. Maarten, M. Erik, and W. Rik, Semantic Mastering : Content Adaptation in the Creative Drama Production Workow, Journal of Multimedia Tools and Applications, vol.59, issue.1, pp.307-340, 2012.

R. Stuart-jonathan and N. Peter, Articial Intelligence : A Modern Approach, 2009.

S. Heiko, M. Detlev, and W. Thomas, Overview of the Scalable Video Coding Extension of the H, IEEE Transactions on Circuits and Systems for Video Technology, pp.1103-1120, 2007.

K. W. Shi-yonggang and . Clem, Real-Time Tracking Using Level Sets, 2005 IEEE Computer Society Conference on Computer Vision and Pattern Recognition (CVPR'05), p.3441, 2005.
DOI : 10.1109/CVPR.2005.294

T. K. Shih and C. Rong-chi, Keynote 3: Digital Inpainting ??? Survey and Multilayer Image Inpainting Algorithms, Third International Conference on Information Technology and Applications (ICITA'05), p.1524, 2005.
DOI : 10.1109/ICITA.2005.169

P. Sidiropoulos, Dierential Edit Distance : A Metric for Scene Segmentation Evaluation, IEEE Transactions on Circuits and Systems for Video Technology, p.2012
DOI : 10.1109/tcsvt.2011.2181231

URL : http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.259.8318

S. Prabhakant, Zoltners Andris A. The Multiple-Choice Knapsack Problem, Journal of Operations Research, vol.27, issue.3, pp.503-515, 1979.

A. F. Smeaton, P. Over, and A. R. Doherty, Video shot boundary detection: Seven years of TRECVid activity, Computer Vision and Image Understanding, vol.114, issue.4, p.411418, 2010.
DOI : 10.1016/j.cviu.2009.03.011

S. Arnold, W. M. , W. Marcel, S. Simone, G. Amarnath et al., Content-Based Image Retrieval at the End of the Early Years

J. R. Smith and B. Lugeon, A Visual Annotation Tool for Multimedia Content Description, Proc. of the SPIE 4210 Photonics East, Internet Multimedia Management Systems, p.4959, 2000.

S. Cees and G. M. , Multimodal Video Indexing : A Review of the State-of-the-Art, Journal of Multimedia Tools and Applications, vol.25, issue.1, pp.5-35, 2003.

S. Anastasis, A. , A. Marios, and C. , DCAF : an MPEG-21 Dynamic Content Adaptation Framework, Journal of Multimedia Tools and Applications, vol.40, issue.2, pp.151-182, 2008.

S. Florian, D. Mario, C. David, E. Vanessa, and K. Harald, VAnalyzer : A MPEG-7 based Semantic Video Annotation Tool, Proc. of the 11 th International Workshop of the Multimedia Metadata Community, 2010.

S. Kai, Y. Junqing, H. Yue, and H. Xiaoqiang, An Improved Valence-arousal Emotion Space for Video Aective Content Representation and Recognition

T. Thang, Y. Jung, and Y. Ro, Modality conversion for QoS management in universal multimedia access, Proc. of IEE-Vision, Image and Signal Processing, p.374384, 2005.
DOI : 10.1049/ip-vis:20045084

T. Christian, Generic Adaptation of Scalable Multimedia Resources

T. Dian, Content-based Video Indexing for Sports Applications using Integrated Multi-Modal Approach, 2005.

V. Víctor, M. José, and M. , Content Adaptation Tools in the CAIN Framework In : Visual Content Processing and Representation, p.915, 2006.

. Van-beek, S. Peter, R. John, E. Touradj, S. Teruhiko et al., Metadata-driven multimedia access, IEEE Signal Processing Magazine, vol.20, issue.2, pp.40-52, 2003.
DOI : 10.1109/MSP.2003.1184338

D. Van-deursen-davy, . Wesley, . Van-lancker-wim, and . Van-de-walle-rik, Semantic adaptation of synchronized multimedia streams in a format-independent way, 2009 Picture Coding Symposium, 2009.
DOI : 10.1109/PCS.2009.5167437

. Van-deursen-davy, . Van-lancker-wim, P. De-neve-wesley, M. Tom, . Erik et al., NinSuna: a fully integrated platform for format-independent multimedia content adaptation and delivery using Semantic Web technologies, Multimedia Tools and Applications, vol.20, issue.2, pp.2-3, 2010.
DOI : 10.1007/s11042-009-0354-0

. Van-deursen-davy, P. Van-lancker-wim, D. Tom, and . Wesley, NinSuna : A Format-Independent Multimedia Content 183

V. Anthony, C. Charilaos, A. , and E. Touradj, Special Issue on Universal Multimedia Access, IEEE Signal Processing Magazine, vol.20, issue.2, p.16, 2003.

V. Vladimir, GrowCut" -Interactive Multi-Label N-D Image Segmentation By Cellular Automata, Cybernetics, vol.127, issue.2, pp.150-156, 2004.

W. Yao, K. Jae-gon, C. Shih-fu, and K. Hyung-myung, Utility-Based Video Adaptation for Universal Multimedia Access (UMA) and Content-Based Utility Function Prediction for Real-Time Video Transcoding, IEEE Transactions on Multimedia, vol.9, issue.2, pp.213-220, 2007.

W. Yao, L. Zhu, and H. Jin-cheng, Multimedia Content Analysis-Using Both Audio and Visual Clues, IEEE Signal Processing Magazine, vol.17, issue.6, pp.12-36, 2000.

W. Zhou and C. Bovik-alan, Mean squared error: Love it or leave it? A new look at Signal Fidelity Measures, IEEE Signal Processing Magazine, vol.26, issue.1, pp.98-117, 2009.
DOI : 10.1109/MSP.2008.930649

W. Zhou, S. Hamid, R. Bovik-alan, and C. , Objective Video Quality Assessment In : Handbook of Video Databases : Design and Applications (Internet and Communications), p.10411078, 2003.

W. E. , H. De-pulsu, A. E. Resorptione, and . Tactu, Annotationes Anatomicae Et Physiologicae, p.1834

W. Arthur, A. , J. Coleen, T. , P. Margaret et al., Objective Video Quality Assessment System based on Human Perception, Proc. of the SPIE. 1913, Human Vision, Visual Processing, and Digital Display IV, p.1526, 1993.

W. Benjamin, C. David, S. Timothy, W. , and F. Mary, Efcient Pareto frontier exploration using surrogate approximations, Journal of Optimization and Engineering, vol.2, issue.1, pp.31-50, 2001.

A. Wu-wanmin, R. Ahsan, N. Raoul, S. Klara, Y. Renata et al., Quality of Experience in Distributed Interactive Multimedia Environments : Toward a Theoretical Framework, Proc. of the 17 th ACM international conference on Multimedia (MM '09), oct, p.481490, 2009.

Y. Alper, J. Omar, and S. Mubarak, Object Tracking : A Survey, Journal of ACM Computing Surveys (CSUR), vol.38, issue.4, p.45, 2006.

Y. Alper, L. Xin, and S. Mubarak, Contour-Based Object Tracking with Occlusion Handling in Video Acquired using Mobile Cameras, IEEE Transactions on Pattern Analysis and Machine Intelligence, vol.26, issue.11, pp.1531-1536, 2004.

Y. Zhu-song-chun and . Alan, Region competition: unifying snakes, region growing, and Bayes/MDL for multiband image segmentation, IEEE Transactions on Pattern Analysis and Machine Intelligence, vol.18, issue.9, pp.884-900, 1996.
DOI : 10.1109/34.537343

Z. Michael and K. Harald, Semantic Adaptation of Multimedia Content

E. Vanessa, C. David, B. Nadia, and B. Lionel, Personalized vIdeo Adaptation Framework (PIAF) : High-Level Semantic Adaptation, 2012 International journals with reviewing committee, pp.1-42, 2012.

E. Vanessa, J. Martin, C. David, and K. Harald, Semantic Video Content Annotation at the Object Level, International conferences with reviewing committee Proceedings of the 10 th International Conference on Advances in Mobile Computing & Multimedia, pp.179-188, 2012.

E. Vanessa, B. Nadia, and C. David, Utility Function for Semantic Video Content Adaptation, 2010 International conferences with reviewing committeeMDC ) in conjunction with IIWAS2010, pp.921-924, 2010.

D. Demo-stegmaier-florian, C. Mario, E. David, K. Vanessa, and . Harald, VAnalyzer : A MPEG-7 based Semantic Video Annotation Tool International conferences with reviewing committee El-Khoury Vanessa. A Multi-level Access Control Scheme for Multimedia Database, Proceedings of the 9 th Workshop on Multimedia Metadata (WMM'09), 2009.

E. Vanessa and B. Nadia, Ouksel Aris M. Distributed Key Management in Dynamic Outsourced Databases : A Trie-Based Approach, p.185

<. ??-d-e, > 6 <xs:complexType> 7 <x s : s e q u e n c e> 8 <x s : e l e m e n t name=" Scene " type=" SceneType " minOccurs="1" maxOccurs= 10 <x s : a t t r i b u t e name= InstCt_ID " type=" x s : s t r i n g " use=" r e q u i r e d "/> 11 <x s : a t t r i b u t e name="SmCt_REF" type=" x s : s t r i n g " use=" r e q u i r e d " /> 12 <x s : a t t r i b u t e name="Video_REF" type=" x s : s t r i n g " use=" r e q u i r e d "/> 13 </ xs:complexType> 14 </ x s : e l e m e n t> 15 16 <!?? D e f i n i t i o n o f SceneType ??> 17 <xs:complexType name=" SceneType "> 18 <x s : s e q u e n c e> 19 <x s : e l e m e n t name=" Shot " type="ShotType" minOccurs="1" maxOccurs="unbounded"/> 20 </ x s : s e q u e n c e> 21 <x s : a t t r i b u t e name="Scene_ID" type=" x s : s t r i n g " use=" r e q u i r e d "/> 22 <x s : a t t r i b u t e name="Scene_SFrame" type=" x s : s t r i n g " use=" r e q u i r e d "/> 23 <x s : a t t r i b u t e name=" Scene_Length " type=" x s : s t r i n g " use=" r e q u i r e d "/> 24 </ xs:complexType> 25 26 <!?? D e f i n i t i o n o f ShotType ??> 27 <xs:complexType name="ShotType"> 28 <x s : s e q u e n c e> 29 <x s : e l e m e n t name="SOFS" type="SOFSType" minOccurs="1" maxOccurs="1" /> 30 </ x s : s e q u e n c e> 31 <x s : a t t r i b u t e name="Shot_ID" type=" x s : s t r i n g " use=" r e q u i r e d "/> 32 <x s : a t t r i b u t e name="Shot_SFrame" type=" x s : s t r i n g " use=" r e q u i r e d "/> 33 <x s : a t t r i b u t e name=" Shot_Length " type=" x s : s t r i n g " use=, 35 </ xs:complexType> 36 37 <!?? D e f i n i t i o n o f SOFSType??> 38 <xs:complexType name="SOFSType"> 39 <x s : s e q u e n c e> 203

]. and I. De-lyon, SOFS_ID" type=" x s : s t r i n g " use=" r e q u i r e d "/> 43 </ xs:complexType> 44 45 <!?? D e f i n i t i o n o f ofsType??> 46 <xs:complexType name=" ofsType "> 47 <x s : s e q u e n c e> 48 <x s : e l e m e n t name="ObjFrame" type="ObjFrameType" use=" r e q u i r e d "/> 49 </ x s : s e q u e n c e> 50 <x s : a t t r i b u t e name=" ofs_ID " type=" x s : s t r i n g " use=" r e q u i r e d "/> 51 <x s : a t t r i b u t e name="ofs_SFrame" type=" x s : s t r i n g " use=" r e q u i r e d "/> 52 <x s : a t t r i b u t e name=" ofs_Length " type=" x s : s t r i n g " use=" r e q u i r e d "/> 53 </ xs:complexType> 54 55 <!?? D e f i n i t i o n o f ObjFrameType??> 56 <xs:complexType name="ObjFrameType"> 57 <x s : s e q u e n c e> 58 <x s : e l e m e n t name=" O b j e c t S i z e " type=" x s : i n t e g e r " use=" r e q u i r e d "/> 59 <x s : e l e m e n t name=" O b j e c t P r i o r i t y " type=" x s : i n t e g e r " use=" r e q u i r e d "/> 60 <x s : e l e m e n t name=" ObjectContour " type=" x s : s t r i n g " use=ObjFrame_NB" type=" x s : s t r i n g " use=