Adaptive fast playback-based video skimming using a compressed-domain visual complexity measure

2004 IEEE International Conference on Multimedia and Expo (ICME)

Volumn 3, Issue , 2004, Pages 2055-2058

  Peker, Kadir A ^a   Divakaran, Ajay ^a  

^a MITSUBISHI ELECTRIC RESEARCH LABORATORIES   (United States)

Author keywords

[No Author keywords available]

Indexed keywords

BANDWIDTH; DEMODULATION; INFORMATION ANALYSIS; SEMANTICS; SIGNAL PROCESSING; VECTORS;

CLUSTERS; SKIMMING; SUMMARIZATION; VISUAL COMPLEXITY;

IMAGE CODING;

EID: 11244334236     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: None     Document Type: Conference Paper

References (7)

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2. NDT Resource Center, Visual Acuity of Human Eye (http://www.ndt-ed.org/ EducationResources/CommunityCollege/PenetrantTest/Introduction/visualacuity.htm
3. A Hanjalic and H. Zhang, An Integrated Scheme for Automated Video Abstraction Based on Unsupervised Cluster-Validity Analysis, IEEE Trans. CSVT, Vol. 9, No. 8, December 1999.
4. Y-F. Ma, L. Lu, H-J. Zhang, and M. Li, "A User Attention Model for Video Summarization," ACM Multimedia 02, pp. 533 - 542, December 2002.
5. Divakaran, A.; Peker, K.A.; Radharkishnan, R.; Xiong, Z.; Cabasson, R., "Video Summarization Using MPEG-7 Motion Activity and Audio Descriptors", in Video Mining, Rosenfeld, A.; Doermann, D.; DeMenthon, D., Kluwer Academic Pub, Oct. 2003.
6. K. A. Peker, A. Divakaran and H. Sun, "Constant pace skimming and temporal sub-sampling of video using motion activity," Proc. ICIP 2001, Greece.
7. M. Pilu, "Motion re-estimation from raw MPEG vectors with applications to image mosaicing", SPIE Electronic Imaging Conference, Jan 1998.