Analyzing emotional semantics of abstract art using low-level image features

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

Volumn 7014 LNCS, Issue , 2011, Pages 413-423

  Zhang, He ^a   Augilius, Eimontas ^a   Honkela, Timo ^a   Laaksonen, Jorma ^a   Gamper, Hannes ^a   Alene, Henok ^a  

^a AALTO UNIVERSITY   (Finland)

Author keywords

abstract art; classification; emotional semantics; image features; psychophysical evaluation

Indexed keywords

ABSTRACT ARTS; BINARY CLASSIFICATION; CONTEXTUAL INFORMATION; DATA SETS; EMOTIONAL SEMANTICS; IMAGE DESCRIPTORS; IMAGE FEATURES; LOW-LEVEL IMAGE FEATURES; PHOTOGRAPHIC IMAGE; PSYCHOPHYSICAL EVALUATION; REASONABLE ACCURACY;

CONTENT BASED RETRIEVAL; DATA REDUCTION; PHOTOGRAPHY; SEMANTICS;

ABSTRACTING;

EID: 80455168508     PISSN: 03029743     EISSN: 16113349     Source Type: Book Series    
DOI: 10.1007/978-3-642-24800-9_38     Document Type: Conference Paper

References (21)

1. Bishop, C.M.: Pattern recognition and machine learning, vol. 4. Springer, New York (2006)
2. Chang, C., Lin, C.: LIBSVM: a library for support vector machines (2001)
3. Cortes, C., Vapnik, V.: Support-vector networks. Machine Learning 20(3), 273-297 (1995)
4. Datta, R., Joshi, D., Li, J., Wang, J.Z.: Studying aesthetics in photographic images using a computational approach. In: Leonardis, A., Bischof, H., Pinz, A. (eds.) ECCV 2006, Part III. LNCS, vol. 3953, pp. 288-301. Springer, Heidelberg (2006) (Pubitemid 44029685)
5. Datta, R., Joshi, D., Li, J., Wang, J.Z.: Image retrieval: Ideas, influences, and trends of the new age. ACM Computing Surveys (CSUR) 40(2), 5 (2008)
6. Hanjalic, A.: Extracting moods from pictures and sounds: Towards truly personalized TV. IEEE Signal Processing Magazine 23(2), 90-100 (2006)
7. Honkela, T., Janasik, N., Lagus, K., Lindh-Knuutila, T., Pantzar, M., Raitio, J.: GICA: Grounded intersubjective concept analysis - a method for enhancing mutual understanding and participation. Tech. Rep. TKK-ICS-R41, AALTO-ICS, ESPOO (December 2010)
8. Honkela, T., Lindh-Knuutila, T., Lagus, K.: Measuring adjective spaces. In: Diamantaras, K., Duch, W., Iliadis, L.S. (eds.) ICANN 2010, Part I. LNCS, vol. 6352, pp. 351-355. Springer, Heidelberg (2010)
9. Machajdik, J., Hanbury, A.: Affective image classification using features inspired by psychology and art theory. In: Proceedings of the International Conference on Multimedia, pp. 83-92. ACM, New York (2010)
10. Orlov, N., Johnston, J., Macura, T., Shamir, L., Goldberg, I.G.: Computer Vision for Microscopy Applications. In: Obinata, G., Dutta, A. (eds.) Vision Systems-Segmentation and Pattern Recognition, pp. 221-242. ARS Pub. (2007)
11. Orlov, N., Shamir, L., Macura, T., Johnston, J., Eckley, D.M., Goldberg, I.G.: WND-CHARM: Multi-purpose image classification using compound image transforms. Pattern Recognition Letters 29(11), 1684-1693 (2008)
12. Osgood, C.E., Suci, G.J., Tannenbaum, P.: The measurement of meaning. University of Illinois Press, Urbana (1957)
13. Ou, L., Luo, M.R., Woodcock, A., Wright, A.: A study of colour emotion and colour preference. Part I: Colour emotions for single colours. Color Research & Application 29(3), 232-240 (2004)
14. Shamir, L., Macura, T., Orlov, N., Eckley, D.M., Goldberg, I.G.: Impressionism, expressionism, surrealism: Automated recognition of painters and schools of art. ACM Transactions on Applied Perception 7, 8:1-8:17 (2010)
15. Shamir, L., Orlov, N., Eckley, D.M., Macura, T., Johnston, J., Goldberg, I.G.: Wndchrm-an open source utility for biological image analysis. Source Code for Biology and Medicine 3(1), 1-13 (2008)
16. Solli, M., Lenz, R.: Emotion related structures in large image databases. In: Proceedings of the ACM International Conference on Image and Video Retrieval, pp. 398-405. ACM, New York (2010)
17. Wang, W., He, Q.: A survey on emotional semantic image retrieval. In: International Conference on Image Processing (ICIP), pp. 117-120. IEEE, Los Alamitos (2008)
18. Wang, W., Yu, Y., Jiang, S.: Image retrieval by emotional semantics: A study of emotional space and feature extraction. In: International Conference on Systems, Man and Cybernetics (SMC 2006), vol. 4, pp. 3534-3539. IEEE, Los Alamitos (2006)
19. Wu, Q., Zhou, C., Wang, C.: Content-based affective image classification and retrieval using support vector machines. In: Tao, J., Tan, T., Picard, R.W. (eds.) ACII 2005. LNCS, vol. 3784, pp. 239-247. Springer, Heidelberg (2005) (Pubitemid 43763334)
20. Zhang, H., Koskela, M., Laaksonen, J.: Report on forms of enriched relevance feedback. Technical Report TKK-ICS-R10, Helsinki University of Technology, Department of Information and Computer Science (November 2008)
21. Zhang, H., Ruokolainen, T., Laaksonen, J., Hochleitner, C., Traunmüller, R.: Gaze-and speech-enhanced content-based image retrieval in image tagging. In: International Conference on Artificial Neural Networks-ICANN 2011, pp. 373-380 (2011)