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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A Holistic, In-Compression Approach to Mining Independent Motion Segments for Massive Surveillance Vypical scenario where the video data collections are massive in size, We propose a holistic, in-compression approach, called Linear System Consistency Analysis (LSCA), to efficient video data mining for those independent motion segments. By efficient, we mean that the mining speed is close to or eve

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Video Repeat Recognition and Mining by Visual Features and retrieval. In this chapter we present methods to identify known and unknown video repeats respectively. For known video repeat recognition, we focus on robust feature extraction and classifier learning problems. A clustering model of visual features (e.g. color, texture) is proposed to represen

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YouTube Scale, Large Vocabulary Video Annotationdea of annotating static imagery with keywords is relatively well known, the idea of annotating videos with natural language keywords to enhance search is an important emerging problem with great potential to improve the quality of video search. However, leveraging web-scale video datasets for autom

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A Holistic, In-Compression Approach to Mining Independent Motion Segments for Massive Surveillance Vn faster than real-time in “normal” platforms (we do not assume using special hardware or any parallel machines) while still maintaining a good mining quality. Theoretical and experimental analyses demonstrate and validate this holistic, in-compression approach to solving for video mining problem for temporal independent motion segmentation.

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Statistical Analysis on Manifolds and Its Applications to Video Analysisations in video analysis that involve manifolds. We develop the required mathematical tools needed to perform statistical inference on manifolds and show their effectiveness in real video-understanding applications.

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Face Recognition and Retrieval in Video recognition has also been considered in the content-based video retrieval setup, for example, character-based video search. In this chapter, we review existing research on face recognition and retrieval in video. The relevant techniques are comprehensively surveyed and discussed.