The story picturing engine: finding elite images to illustrate a story using mutual reinforcement
Proceedings of the 6th ACM SIGMM international workshop on Multimedia information retrieval
Grouping web image search result
Proceedings of the 12th annual ACM international conference on Multimedia
Web image clustering by consistent utilization of visual features and surrounding texts
Proceedings of the 13th annual ACM international conference on Multimedia
Scalable Recognition with a Vocabulary Tree
CVPR '06 Proceedings of the 2006 IEEE Computer Society Conference on Computer Vision and Pattern Recognition - Volume 2
IGroup: web image search results clustering
MULTIMEDIA '06 Proceedings of the 14th annual ACM international conference on Multimedia
Contextual in-image advertising
MM '08 Proceedings of the 16th ACM international conference on Multimedia
Supervised Learning of Quantizer Codebooks by Information Loss Minimization
IEEE Transactions on Pattern Analysis and Machine Intelligence
CrowdReranking: exploring multiple search engines for visual search reranking
Proceedings of the 32nd international ACM SIGIR conference on Research and development in information retrieval
MM '09 Proceedings of the 17th ACM international conference on Multimedia
Descriptive visual words and visual phrases for image applications
MM '09 Proceedings of the 17th ACM international conference on Multimedia
Identifying news videos' ideological perspectives using emphatic patterns of visual concepts
MM '09 Proceedings of the 17th ACM international conference on Multimedia
ECCV'06 Proceedings of the 9th European conference on Computer Vision - Volume Part IV
Mediapedia: mining web knowledge to construct multimedia encyclopedia
MMM'10 Proceedings of the 16th international conference on Advances in Multimedia Modeling
Cross community news event summary generation based on collaborative ranking
Proceedings of the 4th International Conference on Internet Multimedia Computing and Service
BiCWS: mining cognitive differences from bilingual web search results
WISE'12 Proceedings of the 13th international conference on Web Information Systems Engineering
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Existing research work in the multimedia domain mainly focuses on image/video indexing, retrieval, annotation, tagging, re-ranking, etc. However, little work has been contributed to people's visual cognition. In this paper, we propose a novel framework to mine people's visual cognition across multi-language communities. Two challenges are addressed: the visual cognition representation for a specific language community, and the visual cognition comparison between different language communities. We call it "the third eye", which means that through this way people with different backgrounds can better understand the cognition of each other, and can view the concept more objectively to avoid culture conflict. In this study, we utilize the image search engine to mine the visual cognition of the different communities. The assumption is that the image semantic distribution over the search results can reflect the visual cognition of the community. When a user submits a text query, it is first translated into different languages, and fed into the corresponding image search engine ports to retrieve images from these communities. After retrieval, the obtained images are categorized into different semantic clusters automatically. Finally, inter semantic cluster ranking is employed to rank the semantic clusters according to their relationship to the query, and intra cluster ranking is used to rank the images according to their representativeness. The visual cognition difference among these language communities is achieved by comparing the different community image distributions over these semantic clusters. The experimental results are promising and show that the proposed visual cognition mining approach is effective.