Share Email Print
cover

Proceedings Paper

Analysis of unstructured video based on camera motion
Format Member Price Non-Member Price
PDF $14.40 $18.00
cover GOOD NEWS! Your organization subscribes to the SPIE Digital Library. You may be able to download this paper for free. Check Access

Paper 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.

Paper Details

Date Published: 29 January 2007
PDF: 12 pages
Proc. SPIE 6506, Multimedia Content Access: Algorithms and Systems, 65060J (29 January 2007); doi: 10.1117/12.705728
Show Author Affiliations
Golnaz Abdollahian, Purdue Univ. (United States)
Edward J. Delp, Purdue Univ. (United States)


Published in SPIE Proceedings Vol. 6506:
Multimedia Content Access: Algorithms and Systems
Alan Hanjalic; Raimondo Schettini; Nicu Sebe, Editor(s)

© SPIE. Terms of Use
Back to Top