Flexible presentation of videos based on affective content analysis

Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)

Volumn 7732 LNCS, Issue PART 1, 2013, Pages 368-379

  Zhao, Sicheng ^a   Yao, Hongxun ^a   Sun, Xiaoshuai ^a   Jiang, Xiaolei ^a   Xu, Pengfei ^a  

^a HARBIN INSTITUTE OF TECHNOLOGY   (China)

Author keywords

Affective analysis; Emotion space; HCRFs.; Video presentation

Indexed keywords

AFFECTIVE ANALYSIS; CONTENT ANALYSIS; EMOTION SPACES; HCRFS; HIDDEN CONDITIONAL RANDOM FIELDS; MULTIMEDIA CONTENTS; VIDEO PRESENTATIONS; VISUALIZATION TECHNIQUE;

COMPUTER SCIENCE; COMPUTERS;

ARTIFICIAL INTELLIGENCE;

EID: 84892874193     PISSN: 03029743     EISSN: 16113349     Source Type: Book Series    
DOI: 10.1007/978-3-642-35725-1_34     Document Type: Conference Paper

References (22)

1. Liu, C., Huang, Q., Jiang, S., et al.: A framework for flexible summarization of racquet sports video using multiple modalities. Computer Vision and Image Understanding 113(3), 415-424 (2009)
2. Zhao, Z., Jiang, S., Huang, Q., Zhu, G.: Highlight summarization in sports video based on replay detection. In: IEEE International Conference on Multimedia & Expo, pp. 1613-1616 (2006)
3. Xiang, X., Kankanhalli, M.: Affect-based adaptive presentation of home videos. In: ACM Multimedia, pp. 553-562 (2011)
4. Wang, M., Hong, R., Li, G., Zha, Z., Yan, S., Chua, T.: Event Driven Web Video Summarization by Tag Localization and Key-Shot Identification. IEEE Transactions on Multimedia 14(4), 975-985 (2012)
5. Wang, M., Hong, R., Yuan, X., Yan, S., Chua, T.: Movie2Comics: Towards a Lively Video Content Presentation. IEEE Transactions on Multimedia 14(3), 858-870 (2012)
6. Machajdik, J., Hanbury, A.: Affective image classification using features inspired by psychology and art theory. In: ACM Multimedia, pp. 83-92 (2010)
7. Kang, H.: Affective Content Detection Using HMMs. In: ACM Multimedia, pp. 259-262 (2003)
8. Xu, M., Jin, J., Luo, S.: Hierarchical Movie Affective Content Analysis Based on Arousal and Valence Features. In: ACM Multimedia, pp. 677-680 (2008)
9. Schlosberg, H.: Three Dimensions of Emotion. Psychological Review 61(2), 81-88 (1954)
10. Hanjalic, A., Xu, L.: Affective Video Content Representation and Modeling. IEEE Transactions on Multimedia 7(1), 143-154 (2005)
11. Arifin, S., Cheung, P.Y.K.: A Computation Method for Video Segmentation Utilizing the Pleasure-Arousal-Dominance Emotional Information. In: ACM Multimedia, pp. 68-77 (2007)
12. Zhang, S., Tian, Q., Huang, Q., Gao, W., Li, S.: Utilizing affective analysis for efficient movie browsing. In: IEEE International Conference on Image Processing, pp. 1853-1856 (2009)
13. Nicolaou, M.A., Gunes, H., Pantic, M.: A Multi-layer Hybrid Framework for Dimensional Emotion Classification. In: ACM Multimedia, pp. 933-936 (2011)
14. Ma, Y.-F., Lu, L., Zhang, H.-J., Li, M.: A User Attention Model for Video Summarization. In: ACM Multimedia (2002)
15. Joho, H., Staiano, J., Sebe, N., Jose, J.M.: Looking at the viewer: analysing facial activity to detect personal highlights of multimedia contents. Multimedia Tools Application 51(2), 505-523 (2011)
16. Joho, H., Jose, J.M., Valenti, R., Sebe, N.: Exploiting facial expressions for affective video summarization. In: ACM International Conference on Image and Video Retrieval (2009)
17. Zhao, S., Yao, H., Sun, X., Xu, P., Liu, X., Ji, R.: Video Indexing and Recommendation Based on Affective Analysis of Viewers. In: ACM Multimedia, pp. 1473-1476 (2011)
18. Zhao, S., Yao, H., Sun, X.: Video Classification and Recommendation Based on Affective Analysis of Viewers. Neurocomputing (to appear, 2012)
19. Yang, P., Liu, Q., Metaxas, D.N.: RankBoost with l1 regularization for Facial Expression Recognition and Intensity Estimation. In: IEEE International Conference on Computer Vision, pp. 1018-1025 (2009)
20. Lafferty, J., McCallum, A., Pereira, F.: Conditional random fields: Probabilistic models for segmenting and labeling sequence data. In: IEEE International Conference on Machine Learning (2001)
21. Quattoni, A., Collins, M., Darrell, T.: Conditional random fields for object recognition. In: Neural Information Processing Systems (2004)
22. Irie, G., Satou, T., Kojima, A., Yamasaki, T., Aizawa, K.: Affective Audio-Visual Words and Latent Topic Driving Model for Realizing Movie Affective Scene Classification. IEEE Transactions on Multimedia 16(2), 523-535 (2010)