Wei-Ta Chu
ABSTRACT
We try to address part of the challenge proposed by CeWe. A photo summarization method is developed to select representative photos. Based on the observation that the most important objects/views are often captured several times, we exploit near-duplicate detection techniques to represent a sequence of photo as a graph, and then the graph structure is analyzed to facilitate importance ranking. We focus on summarizing hundreds of photos taken in journeys lasting for one or two weeks. The qualitative and quantitative measurement results demonstrate the effectiveness of the proposed method.
- W.-T. Chu and C.-H. Lin, "Automatic selection of representative photo and smart thumbnailing using near-duplicate detection," Proceedings of ACM Multimedia Conference, pp. 829--832, 2008. Google Scholar
Digital Library
- W.-T. Chu, C.-H. Lin, and J.-Y. Yu, "Feature points classification for representative photo selection," submitted to ACM Multimedia Conference, 2009. Google ScholarDigital Library
- W.-L. Zhao, C.-W. Ngo, H.-K. Tan, and X. Wu, "Near-duplicate keyframe identification with interest point matching and pattern learning," IEEE Trans. on Multimedia, vol. 9, no. 5, pp. 1037--1048, 2007. Google ScholarDigital Library
Index Terms
- Automatic summarization of travel photos using near-duplication detection and feature filtering
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