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.
Schoeffmann, Klaus and Merialdo, Bernard and Hauptmann, Alexander and Ngo, Chong Wah and Andreopoulos, Yiannis and Breiteneder, Christian, (eds.)
Advances in Multimedia Modeling, 18th International Conference, MMM 2012, Proceedings. Lecture Notes in Computer Science
7131.
Springer. ISBN 978-3-642-27355-1