Affective content analysis of music video clips

MM'11 - Proceedings of the 2011 ACM Multimedia Conference and Co-Located Workshops - MIRUM 2011 Workshop, MIRUM'11

Volumn , Issue , 2011, Pages 7-12

  Yazdani, Ashkan ^a   Kappeler, Krista ^a   Ebrahimi, Touradj ^a  

^a EPFL   (Switzerland)

Author keywords

Affect; Emotion; Multimedia content analysis

Indexed keywords

AFFECT; AFFECTIVE STATE; AUDIO-VISUAL FEATURES; CONTENT ANALYSIS; EMOTION; INDEXING TECHNIQUES; MULTIMEDIA CONTENT ANALYSIS; MULTIMEDIA CONTENTS; MUSIC VIDEO; RETRIEVAL PROCESS; SELF ASSESSMENT; SUBJECTIVE TESTS;

INDEXING (OF INFORMATION); INFORMATION RETRIEVAL; VIDEO CAMERAS;

AUDIO ACOUSTICS;

EID: 84555196206     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1145/2072529.2072532     Document Type: Conference Paper

References (15)

1. W. Abd-Almageed. Online, simultaneous shot boundary detection and key frame extraction for sports videos using rank tracing. In Image Processing, 2008. ICIP 2008. 15th IEEE International Conference on, pages 3200-3203. IEEE, 2008.
2. M. Bradley, P. Lang, U. of Florida. Center for the Study of Emotion, Attention, and N. I. of Mental Health. The International affective digitized sounds (IADS)[: stimuli, instruction manual and affective ratings. NIMH Center for the Study of Emotion and Attention, 1999.
3. R. Dietz and A. Lang. Affective agents: Effects of agent affect on arousal, attention, liking and learning. In Proceedings of the Third International Cognitive Technology Conference, San Francisco, 1999.
4. P. Ekman. Basic emotion. Handbook of Cognition and Emotion, 1999.
5. A. Hanjalic and L. Xu. Affective video content representation and modeling. Multimedia, IEEE Transactions on, 7(1):143-154, 2005. (Pubitemid 40178377)
6. H. Kang. Affective content detection using hmms. In Proceedings of the eleventh ACM international conference on Multimedia, pages 259-262. ACM, 2003.
7. S. Koelstra, C. Muehl, M. Soleymani, J. Lee, A. Yazdani, T. Ebrahimi, T. Pun, A. Nijholt, and I. Patras. Deap: A database for emotion analysis using physiological signals. IEEE Transactions on Affective Computing, 2011.
8. P. Lang, M. Bradley, and B. Cuthbert. International affective picture system (iaps): Instruction manual and affective ratings. The Center for Research in Psychophysiology, University of Florida, 1999.
9. D. Li, I. Sethi, N. Dimitrova, and T. McGee. Classification of general audio data for content-based retrieval. Pattern recognition letters, 22(5):533-544, 2001. (Pubitemid 32376370)
10. R. Lienhart. Comparison of automatic shot boundary detection algorithms. In Proc. SPIE, volume 3656, pages 290-301. Citeseer, 1999.
11. J. Mas and G. Fernandez. Video shot boundary detection based on color histogram. Notebook Papers TRECVID2003, Gaithersburg, Maryland, NIST, 2003.
12. S. Moncrieff, C. Dorai, and S. Venkatesh. Affect computing in film through sound energy dynamics. In Proceedings of the ninth ACM international conference on Multimedia, pages 525-527. ACM, 2001. (Pubitemid 32968734)
13. Z. Rasheed, Y. Sheikh, and M. Shah. On the use of computable features for film classification. Circuits and Systems for Video Technology, IEEE Transactions on, 15(1):52-64, 2005.
14. K. Sun and J. Yu. Video affective content representation and recognition using video affective tree and hidden markov models. Affective Computing and Intelligent Interaction, pages 594-605, 2007.
15. M. Xu, L. Chia, and J. Jin. Affective content analysis in comedy and horror videos by audio emotional event detection. In 2005 IEEE International Conference on Multimedia and Expo, page 4. IEEE, 2005.