Emotion based classification of natural images

International Conference on Information and Knowledge Management, Proceedings

Volumn , Issue , 2011, Pages 17-22

  Dellagiacoma, Michela ^a   Zontone, Pamela ^a   Boato, Giulia ^a   Albertazzi, Liliana ^a  

^a UNIVERSITY OF TRENTO   (Italy)

Author keywords

emotion; emotional semantic image retrieval; image classification; image features

Indexed keywords

COMMUNICATION PROCESS; CONTENT SEMANTICS; EMOTION; EMOTIONAL SEMANTIC IMAGE RETRIEVAL; IMAGE FEATURES; NATURAL IMAGES; OPINION MINING; SENTIMENT ANALYSIS;

COMMUNICATION; IMAGE CLASSIFICATION; SEMANTICS;

IMAGE RETRIEVAL;

EID: 83255184361     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1145/2064448.2064470     Document Type: Conference Paper

References (19)

1. S. Baek, M. Hwang, M. Cho, C. Choi, and P. Kim. Object Retrieval by Query with Sensibility Based on the KANSEI-Vocabulary Scale. Lecture Notes in Computer Science, 3979:109, 2006.
2. N. Bianchi-Berthouze. K-DIME: an Affective Image Filtering System. IEEE Multimedia, 10(3):103-106, 2003.
3. C. Chang and C. Lin. LIBSVM: a library for support vector machines, 2001. Software available at http://www.csie.ntu.edu.tw/~cjlin/libsvm.
4. S. A. Chatzichristofis and Y. S. Boutalis. Cedd: Color and edge directivity descriptor: A compact descriptor for image indexing and retrieval. In A. Gasteratos, M. Vincze, and J. Tsotsos, editors, Computer Vision Systems, volume 5008 of Lecture Notes in Computer Science, pages 312-322. Springer Berlin / Heidelberg, 2008.
5. C. Colombo, A. Del Bimbo, and P. Pala. Semantics in visual information retrieval. IEEE Multimedia, 6(3):38-53, 1999.
6. P. Ekman, W. Friesen, and P. Ellsworth. Emotion in the human face. Pergamon Press New York, 1972.
7. J. Itten. The art of color. Van Nostrand Reinhold New York, 1969.
8. E. Kim, S. Kim, H. Koo, K. Jeong, and J. Kim. Emotion-Based Textile Indexing Using Colors and Texture. Lecture notes in computer science, 3613:1077, 2005.
9. K. Kuroda and M. Hagiwara. An image retrieval system by impression words and specific object names-IRIS. Neurocomputing, 43(1):259-276, 2002. (Pubitemid 34041236)
10. J. Machajdik and A. Hanbury. Affective image classification using features inspired by psychology and art theory. In ACM Multimedia, pages 83-92, 2010.
11. B. Pang and L. Lee. Opinion Mining and Sentiment Analysis. Information Retrieval, 2(1-2):1-135, 2008.
12. R. Picard. Affective computing. The MIT Press, 2000.
13. S. Siersdorfer, E. Minack, F. Deng, and J. S. Hare. Analyzing and predicting sentiment of images on the social web. In ACM Multimedia 2010, 2010.
14. T. Sikora. The mpeg-7 visual standard for content description-an overview. Circuits and Systems for Video Technology, IEEE Transactions on, 11(6):696-702, June 2001. (Pubitemid 32616531)
15. M. Solli and R. Lenz. Color based bags-of-emotions. In X. Jiang and N. Petkov, editors, Computer Analysis of Images and Patterns, volume 5702 of Lecture Notes in Computer Science, pages 573-580. Springer Berlin / Heidelberg, 2009.
16. W. Wang and Q. He. A survey on emotional semantic image retrieval. In Proc. IEEE Conf. Image Processing, pages 117-120, 2008.
17. W. Wei-ning, Y. Ying-lin, and J. Sheng-ming. Image retrieval by emotional semantics: A study of emotional space and feature extraction. In IEEE International Conference on Systems, Man and Cybernetics, 2006. SMC'06, volume 4, 2006.
18. V. Yanulevskaya, J. van Gemert, K. Roth, A. Herbold, N. Sebe, J. Geusebroek, and G. Bonn. Emotional valence categorization using holistic image features. In IEEE International Conference on Image Processing, San Diego, California, USA, 2008.
19. K. Yoshida, T. Kato, and T. Yanaru. Image retrieval system using impression words. In 1998 IEEE International Conference on Systems, Man, and Cybernetics, 1998, volume 3, 1998.