Studying aesthetics in photographic images using a computational approach

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

Volumn 3953 LNCS, Issue , 2006, Pages 288-301

  Datta, Ritendra ^a   Joshi, Dhiraj ^a   Li, Jia ^a   Wang, James Z ^a  

^a PENNSYLVANIA STATE UNIVERSITY   (United States)

Author keywords

[No Author keywords available]

Indexed keywords

CLASSIFICATION (OF INFORMATION); COMPUTATIONAL METHODS; FEATURE EXTRACTION; IMAGE ANALYSIS; INFORMATION RETRIEVAL; ONLINE SYSTEMS; POLYNOMIAL APPROXIMATION; PROBLEM SOLVING;

AESTHETIC QUALITIES; DATA SOURCES; DIGITAL PHOTOGRAPHY; PHOTOGRAPHIC IMAGES;

PHOTOGRAPHY;

EID: 33745872970     PISSN: 03029743     EISSN: 16113349     Source Type: Book Series    
DOI: 10.1007/11744078_23     Document Type: Conference Paper

References (21)

1. Airlines.Net, http://wvw.airliners.net.
2. R. Arnheim, Art and Visual Perception: A Psychology of the Creative Eye, University of California Press, Berkeley, 1974.
3. ARTStor.org, http://www.artstor.org.
4. K. Barnard, P. Duygulu, D. Forsyth, N. -de. Freitas, D. M. Blei, and M. I. Jordan, "Matching Words and Pictures," J. Machine Learning Research, 3:1107-1135, 2003.
5. A. L. Blum and P. Langley, "Selection of Relevant Features and Examples in Machine Learning," Artificial Intelligence, 97(1-2):245-271, 1997.
6. C. Carson, S. Belongie, H. Greenspan, and J. Malik, "Blobworld: Color and Texture-Based Image Segmentation using EM and its Application to Image Querying and Classification," IEEE Trans. on Pattern Analysis and Machine Intelli., 24(8):1026-1038, 2002.
7. C-c. Chen, H. Wactlar, J. Z. Wang, and K. Kiernan, "Digital Imagery for Significant Cultural and Historical Materials - An Emerging Research Field Bridging People, Culture, and Technologies," Int'l J. on Digital Libraries, 5(4):275-286, 2005.
8. L. Breiman, J.H. Friedman, R.A. Olshen, and C.J. Stone, Classification and Regression Trees, Wadsworth, Belmont, CA, 1983.
9. C.-c. Chang, C.-j. Lin, "LIBSVM: A Library for SVM", http://www.csie.ntu.edu.tw/~cjlin/libsvm, 2001.
10. I. Daubechies, Ten Lectures on Wavdets, Philadelphia, SIAM, 1992.
11. Flickr, http://www.flickr.com.
12. J. Li and J. Z. Wang, "Automatic Linguistic Indexing of Pictures by a Statistical Modeling Approach," IEEE Trans. on Pattern Analyttis and Machine Intelli., 25(9): 1075-1088, 2003.
13. W. Y. Ma and B. S. Manjunath, "NeTra: A Toolbox for Navigating Large Image Databases," Multimedia Systems, 7(3):184-198, 1999.
14. B.S. Manjunath, W.Y. Ma, "Texture Features for Browsing and Retrieval of Image Data", IEEE Trans. on Pattern Analysis and Machine Intelli., 18(8):837-842, 1996.
15. Photo.Net, http://www.photo.net.
16. Photo.NetRatingSystem,http://photo.net/gallery/photocritique/standards.
17. Y. Rubner, C. Tomasi, L.J. Guibas, "The Earth Mover's Distance as a Metric for Image Retrieval," Int'l. J. Computer Vision, 4(2):99-121, 2000.
18. A. W. Smeulders, M. Worring, S. Santini, A. Gupta, and R. Jain, "Content-Based Image Retrieval at the End of the Early Years," IEEE Trans. on Pattern Analysis and Machine Intelli., 22(12):1349-1380, 2000.
19. T, M. Therneau and E. J. Atkinson, "An Introduction to Recursive Partitioning Using RPART Routines," Technical Report, Mayo Foundation, 1997.
20. V. Vapnik, The Nature of Statistical, Learning Theory, Springer, 1995.
21. J. Z. Wang, J. Li, and G. Wiederhold, "SIMPLIcity: Semantics-Sensitive Integrated Matching for Picture Libraries," IEEE Trans. on Pattern Analysis and Machine Intelli., 23(9):947-963, 2001.