Leveraging user comments for aesthetic aware image search reranking
Author:
Affiliation:
1. Telefonica Research & The Pennsylvania State University, Barcelona, Spain
2. University of Maryland, College Park, MD, USA
3. Telefonica Research, Barcelona, Spain
Publisher
ACM Press
Reference24 articles.
1. R. Datta, D. Joshi, J. Li, and J. Z. Wang. Studying Aesthetics in Photographic Images Using a Computational Approach. In ECCV'06, volume 3953 of L.N. in Computer Science, pages 288--301. Springer.
2. S. Hasler and S. Susstrunk. Measuring colorfulness in real images. volume 5007, pages 87--95, 2003.
3. W. H. Hsu, L. S. Kennedy, and S. F. Chang. Video search reranking via information bottleneck principle. In ACM Multimedia '06, pages 35--44, NY, USA, 2006.
4. K. Q. Huang, Q. Wang, and Z. Y. Wu. Natural color image enhancement and evaluation algorithm based on human visual system. Comput. Vis. Image Underst., 103(1):52--63, 2006.
5. V. Jain and M. Varma. Learning to re-rank: query-dependent image re-ranking using click data. In Proc. ACM Conf. on World wide web, WWW '11, pages 277--286, NY, USA, 2011. ACM.
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