Paper
29 January 2007 Analysis of unstructured video based on camera motion
Author Affiliations +
Proceedings Volume 6506, Multimedia Content Access: Algorithms and Systems; 65060J (2007) https://doi.org/10.1117/12.705728
Event: Electronic Imaging 2007, 2007, San Jose, CA, United States
Abstract
Although considerable work has been done in management of "structured" video such as movies, sports, and television programs that has known scene structures, "unstructured" video analysis is still a challenging problem due to its unrestricted nature. The purpose of this paper is to address issues in the analysis of unstructured video and in particular video shot by a typical unprofessional user (i.e home video). We describe how one can make use of camera motion information for unstructured video analysis. A new concept, "camera viewing direction," is introduced as the building block of home video analysis. Motion displacement vectors are employed to temporally segment the video based on this concept. We then find the correspondence between the camera behavior with respect to the subjective importance of the information in each segment and describe how different patterns in the camera motion can indicate levels of interest in a particular object or scene. By extracting these patterns, the most representative frames, keyframes, for the scenes are determined and aggregated to summarize the video sequence.
© (2007) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
Golnaz Abdollahian and Edward J. Delp "Analysis of unstructured video based on camera motion", Proc. SPIE 6506, Multimedia Content Access: Algorithms and Systems, 65060J (29 January 2007); https://doi.org/10.1117/12.705728
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CITATIONS
Cited by 6 scholarly publications and 1 patent.
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KEYWORDS
Video

Cameras

Zoom lenses

Motion analysis

Motion detection

Motion models

Motion estimation

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