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Multi-sketch Semantic Video Browser

Publication at Faculty of Mathematics and Physics |
2016

Abstract

This paper presents a tool for interactive filtering and browsing of up to hundreds of hours of video content. In particular, we address the known-item search, i.e., searching for a short video clip known visually or by textual description.

Video content is filtered with simple user-defined sketches of the searched scenes consisting of its distinct color regions and significant edges. Furthermore, the filtered content might be browsed with the query-by-example paradigm utilizing either visual or semantic similarity.