A Representative-Video-Frame Selection Method for a Content-Based Video-Query-Agent System
Summary :
An optimum representative-frames (r-frames) selection method using step-wise function approximation has been developed to provide automatic indexing for a video-query-agent (VQA) system. It uses dynamic programming to simultaneously select the r-frames and corresponding segment boundaries. Experiments showed that the approximation error of the selected r-frames was less than that of two conventional methods. Retrieval experiments using a feature-based image-search engine showed that the proposed method is more robust and effective than the two conventional methods. The proposed method was implemented in a VQA system and processing time was evaluated. The results showed that the processing time for indexing was shorter than that of the conventional method.
- Publication
- IEICE TRANSACTIONS on Information Vol.E83-D No.6 pp.1274-1281
- Publication Date
- 2000/06/25
- Publicized
- Online ISSN
- DOI
- Type of Manuscript
- PAPER
- Category
- Image Processing, Image Pattern Recognition
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Katsunobu FUSHIKIDA, Yoshitsugu HIWATARI, Hideyo WAKI, "A Representative-Video-Frame Selection Method for a Content-Based Video-Query-Agent System" in IEICE TRANSACTIONS on Information,
vol. E83-D, no. 6, pp. 1274-1281, June 2000, doi: .
Abstract: An optimum representative-frames (r-frames) selection method using step-wise function approximation has been developed to provide automatic indexing for a video-query-agent (VQA) system. It uses dynamic programming to simultaneously select the r-frames and corresponding segment boundaries. Experiments showed that the approximation error of the selected r-frames was less than that of two conventional methods. Retrieval experiments using a feature-based image-search engine showed that the proposed method is more robust and effective than the two conventional methods. The proposed method was implemented in a VQA system and processing time was evaluated. The results showed that the processing time for indexing was shorter than that of the conventional method.
URL: https://global.ieice.org/en_transactions/information/10.1587/e83-d_6_1274/_p
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@ARTICLE{e83-d_6_1274,
author={Katsunobu FUSHIKIDA, Yoshitsugu HIWATARI, Hideyo WAKI, },
journal={IEICE TRANSACTIONS on Information},
title={A Representative-Video-Frame Selection Method for a Content-Based Video-Query-Agent System},
year={2000},
volume={E83-D},
number={6},
pages={1274-1281},
abstract={An optimum representative-frames (r-frames) selection method using step-wise function approximation has been developed to provide automatic indexing for a video-query-agent (VQA) system. It uses dynamic programming to simultaneously select the r-frames and corresponding segment boundaries. Experiments showed that the approximation error of the selected r-frames was less than that of two conventional methods. Retrieval experiments using a feature-based image-search engine showed that the proposed method is more robust and effective than the two conventional methods. The proposed method was implemented in a VQA system and processing time was evaluated. The results showed that the processing time for indexing was shorter than that of the conventional method.},
keywords={},
doi={},
ISSN={},
month={June},}
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TY - JOUR
TI - A Representative-Video-Frame Selection Method for a Content-Based Video-Query-Agent System
T2 - IEICE TRANSACTIONS on Information
SP - 1274
EP - 1281
AU - Katsunobu FUSHIKIDA
AU - Yoshitsugu HIWATARI
AU - Hideyo WAKI
PY - 2000
DO -
JO - IEICE TRANSACTIONS on Information
SN -
VL - E83-D
IS - 6
JA - IEICE TRANSACTIONS on Information
Y1 - June 2000
AB - An optimum representative-frames (r-frames) selection method using step-wise function approximation has been developed to provide automatic indexing for a video-query-agent (VQA) system. It uses dynamic programming to simultaneously select the r-frames and corresponding segment boundaries. Experiments showed that the approximation error of the selected r-frames was less than that of two conventional methods. Retrieval experiments using a feature-based image-search engine showed that the proposed method is more robust and effective than the two conventional methods. The proposed method was implemented in a VQA system and processing time was evaluated. The results showed that the processing time for indexing was shorter than that of the conventional method.
ER -
English
