| The LNCS series reports state-of-the-art results in computer science research,development,and education,at a high level and in both printed and electronic form.Enjoying tight cooperation with the R&D community,with numerous individuals,as well as with prestigious organizations and societies,LNCS has grown into the most comprehensive computer science resarch forum available. The scope of LNCS,including its subseries LNAI,spans the whole range of computer science and information technology including interdisciplinary topics in a variety of application fields.The type of material publised traditionally includes. -proceedings(published in time for the respective conference) -post-proceedings(consisting of thoroughly revised final full papers) -research monographs(which may be basde on outstanding PhD work,research projects,technical reports,etc.) |
| Invited Presentations Lessons for the Future from a Decade of Informedia Video AnMysis Research Large Scale Evaluations of Multimedia Information Retrieval: The TRECVid Experience Image and Video Retrieval from a User-Centered Mobile Multimedia Perspective Multimedia Research Challenges for Industry Industrial Presentations Practical Applications of Multimedia Search Video Story Segmentation and Its Application to Personal Video Recorders High-Speed Dialog Detection for Automatic Segmentation of Recorded TV Program Intellectual Property Management &: Protection and Digital Right Management in MPEG Towards Media Semantics: An I2R Perspective Video Retrieval Techniques A Comparison of Score, Rank and Probability-Based Fusion Methods for Video Shot Retrieval EMD-Based Video Clip Retrieval by Many-to-Many Matching Video Story Segmentation and Event Detection Visual Cue Cluster Construction via Information Bottleneck Principle and Kernel Density Estimation Story Segmentation in News Videos Using Visual and Text Cues Boundary Error Analysis and Categorization in the TRECVID News Story Segmentation Task Semantic Event Detection in Structured Video Using Hybrid HMM/SVM Semantics in Video Retrieval What Can Expressive Semantics Tell: Retrieval Model for a Flash-Movie Search Engine The Use and Utility of High-Level Semantic Features in Video Retrieval Image Indexing and Retrieval Efficient Shape Indexing Using an Information Theoretic Representation Efficient Compressed Domain Target Image Search and Retrieval …… Interactive Video Retrieval and Others Image/Video Retrieval Applications Video Processing ,Retriveval and Multimedia Systems (Poster) Image Feature Extraction,Indexing and Retrieval (Poster) Author Index |
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