Automatic Video Content Analysis and Management
BibTeX
@MISC{Rao_automaticvideo,
author = {Yong Rao},
title = {Automatic Video Content Analysis and Management},
year = {}
}
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Abstract
The principal goal of this proposal is to design an automatic video processing architecture that will enable us to design and develop efficient multimedia applications such as summarization, indexing, retrieval and others. While there are many research projects in this area, many, if not all, rely on MPEG-7 for high-level semantic retrieval. The proposed architecture is compatible with MPEG-7 in that the proposed architecture can be annotated using the MPEG-7 standard, but we emphasize on user relevance feedback in the high-level semantic retrieval task. The proposed research is built upon a substantial body of preliminary work that serves as proof of concept for the proposed architecture and other techniques. The preliminary work includes the development of automatic clustering technique using Delaunay Triangulation, automatic video summary generation and automatic shot boundary detection. We address the problem of automatic video indexing and organization and video information retrieval through user interaction at multiple levels. Our work focuses on the following three important areas: (1) temporal video segmentation; (2) construction of
