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

饒舌的人

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

阻擋

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

良心

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

cluster

手術(shù)刀

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

hereditary

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

scrape

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