Clipboard: a visual search and browsing engine for Tablet and PC
Scott, David, Guo, Jinlin, Wang, Hongyi, Yang, Yang, Hopfgartner, FrankORCID: 0000-0003-0380-6088 and Gurrin, CathalORCID: 0000-0003-2903-3968
(2012)
Clipboard: a visual search and browsing engine for Tablet and PC.
In: 18th International Conference, MMM 2012, 4-6 Jan 2012, Klagenfurt, Austria.
ISBN 978-3-642-27355-1
In this work, we present a handheld video browser that utilizes two methods of search; Concept Search and Keyframe Similarity. Concept Search allows a user to define a query using selected visual concepts and presents the user with a cluster of video segments based on extracted image features using OpponentSIFT. Keyframe Similarity has a dependance on the previous search for input criteria, allowing a user to select a keyframe for similarity search, returning three types of results; local keyframes from the current scene, global shot similarity based on visual features and text similarity of shots, based on frequently occurring words generated from ASR transcripts.