Automatic selection of representative photo and smart thumbnailing using near-duplicate detection
MM '08 Proceedings of the 16th ACM international conference on Multimedia
Feature classification for representative photo selection
MM '09 Proceedings of the 17th ACM international conference on Multimedia
Near-Duplicate Keyframe Identification With Interest Point Matching and Pattern Learning
IEEE Transactions on Multimedia
Journal of Visual Communication and Image Representation
Multimedia analysis and composition cloud service
Proceedings of the Third International Conference on Internet Multimedia Computing and Service
Interactive digital scrapbook generation for travel photos based on design principles of typography
MM '11 Proceedings of the 19th ACM international conference on Multimedia
Photo stream alignment for collaborative photo collection and sharing in social media
WSM '11 Proceedings of the 3rd ACM SIGMM international workshop on Social media
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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.