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Clipboard: a visual search and browsing engine for Tablet and PC

Scott, David, Guo, Jinlin, Wang, Hongyi, Yang, Yang, Hopfgartner, Frank ORCID: 0000-0003-0380-6088 and Gurrin, Cathal ORCID: 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

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Abstract

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.

Item Type:Conference or Workshop Item (Paper)
Event Type:Conference
Refereed:Yes
Uncontrolled Keywords:Multi-modal Access; tablet pc; visual concept; keyframe similarity
Subjects:UNSPECIFIED
DCU Faculties and Centres:DCU Faculties and Schools > Faculty of Engineering and Computing > School of Computing
Published in: 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
Publisher:Springer
Official URL:https://doi.org/10.1007/978-3-642-27355-1_65
Copyright Information:© 2012 Springer-Verlag
Use License:This item is licensed under a Creative Commons Attribution-NonCommercial-Share Alike 3.0 License. View License
ID Code:22316
Deposited On:11 Apr 2018 13:49 by Thomas Murtagh . Last Modified 14 Mar 2019 14:57

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