Clipboard: a visual search and browsing experience for tablet and PC

Scott, D., Guo, J., Wang, H., Yang, Y., Hopfgartner, F. and Gurrin, C. (2012) Clipboard: a visual search and browsing experience for tablet and PC. In: MMM'12: 18th International Conference on Multimedia Modeling, Klagenfurt, Austria, 4-6 Jan 2012, pp. 646-648. (doi: 10.1007/978-3-642-27355-1_65)

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 Proceedings
• Status: Published
• Refereed: Yes
• Glasgow Author(s) Enlighten ID: Hopfgartner, Dr Frank
• Authors: Scott, D., Guo, J., Wang, H., Yang, Y., Hopfgartner, F., and Gurrin, C.
• College/School: College of Arts & Humanities > School of Humanities > Information Studies
• ISSN: 0302-9743