Algorithms for clustering data
Algorithms for clustering data
Survey of Text Mining
Hierarchical clustering of WWW image search results using visual, textual and link information
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
IGroup: web image search results clustering
MULTIMEDIA '06 Proceedings of the 14th annual ACM international conference on Multimedia
Proceedings of the 15th international conference on Multimedia
Generating diverse and representative image search results for landmarks
Proceedings of the 17th international conference on World Wide Web
A text-to-picture synthesis system for augmenting communication
AAAI'07 Proceedings of the 22nd national conference on Artificial intelligence - Volume 2
Multiple hypergraph clustering of web images by mining Word2Image correlations
Journal of Computer Science and Technology
A non-parametric visual-sense model of images--extending the cluster hypothesis beyond text
Multimedia Tools and Applications
Mediapedia: mining web knowledge to construct multimedia encyclopedia
MMM'10 Proceedings of the 16th international conference on Advances in Multimedia Modeling
Learning cooking techniques from youtube
MMM'10 Proceedings of the 16th international conference on Advances in Multimedia Modeling
Video reference: a video question answering engine
MMM'10 Proceedings of the 16th international conference on Advances in Multimedia Modeling
Multimedia encyclopedia construction by mining web knowledge
Signal Processing
Hybrid image summarization by hypergraph partition
Neurocomputing
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Besides the traditional textual semantic description to convey the meanings of a certain concept or word, visual illustration is a complementary, yet important and more intuitive way to interpret the word. Thus the technique that converts word to image is desirable though it is very difficult. Since a word usually has different semantic aspects, we need several correct and semantic-rich images to represent the word. In this paper, we explore how to leverage the web image collections to fulfill such task and develop a novel multimedia application system, Word2Image. Various techniques, including the correlation analysis, semantic and visual clustering are adapted into our system to produce sets of high quality, precise, diverse and representative images to visually translate a given word. The objective and subjective evaluations show the feasibility and effectiveness of our approach.