Share Email Print
cover

Proceedings Paper

Reconstructed key frame and object motion based video retrieval
Author(s): Shuangyan Hu; Junshan Li; Kun Li; Rui Wang; Weijun Yang
Format Member Price Non-Member Price
PDF $14.40 $18.00

Paper Abstract

This paper proposes a video retrieval scheme which can retrieve desired video clips from video databases using color and object motion. The retrieval method includes two steps. In the first step, get the Intra picture frames (I-frames) set from the query MPEG video and reconstruct the key frame of the video based on the set. Then, the video retrieval equals to the retrieval of the reconstructed key frame(R-key frame) and can be easily performed according the methods of content based image retrieval. The second step, the local object motion information that is local motion vector field, is extracted from the video clips set which is the result of the first step, and the final similarity of videos is measured based on the constructed directional histogram. Experimental results show that the proposed two-step retrieval method performed excellently for video retrieval.

Paper Details

Date Published: 15 November 2007
PDF: 5 pages
Proc. SPIE 6786, MIPPR 2007: Automatic Target Recognition and Image Analysis; and Multispectral Image Acquisition, 67864P (15 November 2007); doi: 10.1117/12.749585
Show Author Affiliations
Shuangyan Hu, Xi'an Research Institite of High-Technology (China)
Junshan Li, Xi'an Research Institite of High-Technology (China)
Kun Li, Xidian Univ. (China)
Rui Wang, Xi'an Research Institite of High-Technology (China)
Weijun Yang, Xi'an Research Institite of High-Technology (China)


Published in SPIE Proceedings Vol. 6786:
MIPPR 2007: Automatic Target Recognition and Image Analysis; and Multispectral Image Acquisition

© SPIE. Terms of Use
Back to Top