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논문 상세정보

샷 기여도와 왜곡률을 고려한 키 프레임 추출 알고리즘

Key Frame Extraction using Shot Coverage and Distortion

Abstract

Key frame extraction has been recognized as one of tile important research issues in video information retrieval. Although progress has been made in key frame extraction, the existing approaches do not evaluate the importance of extracted frame Quantitatively, and Dey are computationally expensive or ineffective. In this Paper, we introduce a new 미해rithm for key frame extraction using shot coverage and distortion. The algorithm finds significant key frames from candidate key frames. When selecting the candidate frames, the coverage rate to the total frames from each frame is computed by using the difference between the adjacent frames in tile shot. The frames within 10$\%$ from the top are selected as the candidates. Then, by comfuting the distortion rate of the candidates against all frames, pick the frames which arc most representative are selected. The performance of the proposed algorithm has been verified by a statistical test. Experiments show that more than 13-50$\%$ improvement has been obtained by the proposed algorithm compared to the existing methods.

저자의 다른 논문

참고문헌 (11)

  1. F. Idris and S. Panchanathan, 'Review of Image and Video Indexing Techniques', Journal of Visual Communication and Image Representation, Vol. 8, No. 2, June, pp. 146-166, 1997 
  2. Y. Zhuang, Y. Rui, T.S. Huang, S. Mehrotra, 'Adaptive Key Frame Extraction Using Unsupervised Clustering,' Proc. of lnt. Conf. on Image Proc., Chicago, Oct, 1998 
  3. P.O. Gresle and T.S. Huang, 'Gisting of Video Documents : A Key Frames Selection Algorithm using Relative Acitivity Measure,' Proc. The 2nd Int. Conf. on Visual Information Systems, 1997 
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  7. Hong Jiang Zhang, Jianhua Wu, Di Zhong and Stephen W, Smoliar, 'An Integrated System for Content-based Video Tetrieval and Browsing', Pattern Recognition, Vol. 30, No.4, pp. 643-658, 1997 
  8. W. Wolf, 'Key Frame Selection by Motion Analysis,' Proc. IEEE Int. Conf. Acoust., Speech, and Signal Proc., 1996 
  9. F. Dufaux, 'Key Frame Selection to Represent Video' Proc. International Conference Image Processing, pp. 275~278, June 2000 
  10. K.J. Han and A.H. Tewfik, 'Eigen Image Based Video Segmentation and Indexing,' Proc. International Conference Image Processing, 1997 
  11. T. Vlachos, 'Cut Detection in Video Sequences Using Phase Correlation,' IEEE Signal Processing Letters, Vol. 7, No. 7, July 2000 

이 논문을 인용한 문헌 (1)

  1. Kim, Hyun-Hee 2008. "Design and Evaluation of the Key-Frame Extraction Algorithm for Constructing the Virtual Storyboard Surrogates" 정보관리학회지 = Journal of the Korean society for information management, 25(4): 131~148 

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