PublisherInstitute of Electrical and Electronics Engineers (IEEE)
Rights accessRestricted access - publisher's policy
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.
Citationde Oliveira Barra, G., Lux, M., Giro, X. Large scale content-based video retrieval with LIvRE. A: International Workshop on Content-Based Multimedia Indexing. "2016 14th International Workshop on Content-Based Multimedia Indexing (CBMI)". Bucharest: Institute of Electrical and Electronics Engineers (IEEE), 2016.
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