Training linear SVMs in linear time
Proceedings of the 12th ACM SIGKDD international conference on Knowledge discovery and data mining
Generating diverse and representative image search results for landmarks
Proceedings of the 17th international conference on World Wide Web
ContextSeer: context search and recommendation at query time for shared consumer photos
MM '08 Proceedings of the 16th ACM international conference on Multimedia
Real time google and live image search re-ranking
MM '08 Proceedings of the 16th ACM international conference on Multimedia
A novel approach to enable semantic and visual image summarization for exploratory image search
MIR '08 Proceedings of the 1st ACM international conference on Multimedia information retrieval
Photo and Video Quality Evaluation: Focusing on the Subject
ECCV '08 Proceedings of the 10th European Conference on Computer Vision: Part III
Home Video Visual Quality Assessment With Spatiotemporal Factors
IEEE Transactions on Circuits and Systems for Video Technology
Image collection summarization for search result overviewing on mobile devices
IMMPD '11 Proceedings of the 2011 international ACM workshop on Interactive multimedia on mobile and portable devices
When Amazon Meets Google: Product Visualization by Exploring Multiple Web Sources
ACM Transactions on Internet Technology (TOIT)
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Though current commercial image search engines provide effective ways to retrieve the relevant images, they are ineffective for users to find the desired from the retrieved hundreds of results, especially for ambiguous queries In this paper, we propose to summarize the search results by several representative images We argue that the relevance and image quality are two important measures for a user friendly summarization since image search results are normally noisy with some low-quality images The two factors, which can be regarded as informative prior of whether an image is a good summary candidate, are modeled into Affinity Propagation framework User studies demonstrate that our proposed method is able to produce a user friendly summary, in terms of relevance, diversity, and coverage.