지원사업
학술연구/단체지원/교육 등 연구자 활동을 지속하도록 DBpia가 지원하고 있어요.
커뮤니티
연구자들이 자신의 연구와 전문성을 널리 알리고, 새로운 협력의 기회를 만들 수 있는 네트워킹 공간이에요.
논문 기본 정보
- 자료유형
- 학술저널
- 저자정보
- 저널정보
- 대한전자공학회 IEIE Transactions on Smart Processing & Computing IEIE Transactions on Smart Processing & Computing Vol.7 No.3
- 발행연도
- 2018.6
- 수록면
- 236 - 244 (9page)
- DOI
- 10.5573/IEIESPC.2018.7.3.236
이용수
초록· 키워드
오류제보하기
Extraction of key frames plays a significant role in selecting the most informative subset of frames from a huge amount of video data in order to compress its content. Key frame extraction has a good number of applications, such as video browsing, indexing, and storage. Most key framebased video summarization techniques directly process an input video dataset. An alternative approach uses only low-rank components, without considering the rest of the significant information in the video. This paper presents a novel key frame-extraction framework based on low-rank sparse representation. The proposed framework is motivated by the fact that low-rank sparse-feature representation pursues consistent nonlocal structures for image pixels with similar features. We use low-rank representation to ensure globally consistent non-salient systematic structures for pixels with similar features, and we also use sparse representation to robustly select the best sample for distinct structures of all pixels. Experimental results on a human-labeled benchmark dataset and a comparative performance evaluation with state-of-the-art methods demonstrate the advantages of the proposed method.
목차
Abstract
1. Introduction
2. Formulation of the Feature Selection Problem
3. Experimental Results
4. Conclusion
References
참고문헌 (33)
참고문헌 신청
[학술대회논문] - M. A. Smith / 1997 / Video skimming and characterization through the combination of image and language understanding techniques / Computer Vision and Pattern Recognition, 1997. Proceedings., 1997 IEEE Computer Society Conference on : 775 ~ 781
[학술대회논문] - C. Kim / 2000 / An integrated scheme for object-based video abstraction / Proceedings of the eighth ACM international conference on Multimedia : 303 ~ 311
[학술대회논문] - H.-W. Kang / 2006 / Space-time video montage / 2006 IEEE Computer Society Conference on Computer Vision and Pattern Recognition (CVPR'06) 2 : 1331 ~ 1338
[학술지(정기간행물)] - Y. Pritch / 2008 / Nonchronological video synopsis and indexing / IEEE Transactions on Pattern Analysis and Machine Intelligence 30 (11) : 1971 ~ 1984
[학술대회논문] - A. Rav-Acha / 2006 / Making a long video short: dynamic video synopsis / 2006 IEEE Computer Society Conference on Computer Vision and Pattern Recognition (CVPR'06) 1 : 435 ~ 441
[학술대회논문] - C. Kim / 2000 / An integrated scheme for object-based video abstraction / Proceedings of the eighth ACM international conference on Multimedia : 303 ~ 311
[학술대회논문] - H.-W. Kang / 2006 / Space-time video montage / 2006 IEEE Computer Society Conference on Computer Vision and Pattern Recognition (CVPR'06) 2 : 1331 ~ 1338
[학술지(정기간행물)] - Y. Pritch / 2008 / Nonchronological video synopsis and indexing / IEEE Transactions on Pattern Analysis and Machine Intelligence 30 (11) : 1971 ~ 1984
[학술대회논문] - A. Rav-Acha / 2006 / Making a long video short: dynamic video synopsis / 2006 IEEE Computer Society Conference on Computer Vision and Pattern Recognition (CVPR'06) 1 : 435 ~ 441
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UCI(KEPA) : I410-ECN-0101-2018-569-003112426