Please use this identifier to cite or link to this item: https://doi.org/10.1145/2393347.2396462
Title: Motch: An automatic motion type characterization system for sensor-rich videos
Authors: Wang, G.
Seo, B. 
Zimmermann, R. 
Keywords: location sensors
mobile video
motion characterization
web services
Issue Date: 2012
Source: Wang, G.,Seo, B.,Zimmermann, R. (2012). Motch: An automatic motion type characterization system for sensor-rich videos. MM 2012 - Proceedings of the 20th ACM International Conference on Multimedia : 1319-1320. ScholarBank@NUS Repository. https://doi.org/10.1145/2393347.2396462
Abstract: Camera motion information facilitates higher-level semantic description inference in many video applications, e.g., video retrieval. However, an efficient and accurate methodology for annotating videos with camera motion information is still an elusive goal. In our recent work we have investigated the fusion of captured video with a continuous stream of sensor meta-data. For these so-called sensor-rich videos we present a system, called Motch, which precisely partitions a video document into subshots, automatically characterizes the camera motions and provides video subshot browsing based on an interactive, map-based interface. Moreover, the system computes and presents motion type statistics for each video in real time and renders different subshots distinctively on the map synchronously with the video playback. © 2012 Authors.
Source Title: MM 2012 - Proceedings of the 20th ACM International Conference on Multimedia
URI: http://scholarbank.nus.edu.sg/handle/10635/42922
ISBN: 9781450310895
DOI: 10.1145/2393347.2396462
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