Titlebook: Video Search and Mining; Dan Schonfeld,Caifeng Shan,Liang Wang Book 2010 Springer-Verlag Berlin Heidelberg 2010 Video Retrieval.calculus.c

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Object Trajectory Analysis in Video Indexing and Retrieval Applications limited to) generic browsing of video databases, as well as more specific and context-dependent scenarios such as indexing and retrieval in visual surveillance, traffic monitoring, sport events analysis, video-on-demand, and video broadcasting.

muster

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Adrian Ulges,Damian Borth,Thomas M. Breuelnot been able to test their theories under controlled conditions. Now experimental economists are able to replicate their results. Replication is very proble­ m978-3-540-52483-0978-3-642-45672-5Series ISSN 0075-8442 Series E-ISSN 2196-9957

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1860-949X ing discipline whose aim is to capture interesting patterns in video data. It has become one of the core areas in the data mining resear978-3-642-26343-9978-3-642-12900-1Series ISSN 1860-949X Series E-ISSN 1860-9503

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ENNUI

Video Genre Inference Based on Camera Capturing Modelsn. These new camera based features exploit the fact that a different genre tends to have different camera effects and user perception. Although a lot of work has been proposed with the consideration of cinematic principles, most extracted features are low-level features without much semantic informa

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Visual Concept Learning from Weakly Labeled Web Videosterial. We demonstrate on a large database of videos retrieved from the web that this approach - called . - leads to significant improvements over supervised learning techniques for categorization. In addition, we show how the approach can be combined with active learning to achieve additional perfo

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