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On Effective Known Item Video Search Using Feature Signatures

Publication at Faculty of Mathematics and Physics |
2014

Abstract

In this demo paper, we present a video retrieval and browsing tool inspired by the natural human ability to memorize visual stimuli of color regions in video frames. Our tool utilizes feature signatures that can be used to represent both significant color regions in the key-frames and simple query sketches.

As recently shown at the video browser showdown, such simple representation enables both effective end efficient interactive retrieval and browsing in video.