Large Scale Content-Based Video Retrieval With Livre

2016 14TH INTERNATIONAL WORKSHOP ON CONTENT-BASED MULTIMEDIA INDEXING (CBMI)(2016)

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摘要
The fast growth of video data requires robust, efficient, and scalable systems to allow for indexing and retrieval. These systems must be accessible from lightweight, portable and usable interfaces to help users in management and search of video content. This demo paper presents LIvRE, an extension of an existing open source tool for image retrieval to support video indexing. LIvRE consists of three main system components (pre-processing, indexing and retrieval), as well as a scalable and responsive HTML5 user interface accessible from a web browser. LIvRE supports image-based queries, which are efficiently matched with the extracted frames of the indexed videos.
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关键词
large scale content-based video retrieval,LIvRE,video data,HTML5 user interface,video content management,video content search,video indexing,open source tool,image retrieval,preprocessing system component,indexing system component,retrieval system component,Web browser,image-based queries
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