Query expansion using local and global document analysis
SIGIR '96 Proceedings of the 19th annual international ACM SIGIR conference on Research and development in information retrieval
Helping people find what they don't know
Communications of the ACM
Understanding and Using Context
Personal and Ubiquitous Computing
An information-theoretic perspective of tf—idf measures
Information Processing and Management: an International Journal
Journal of the American Society for Information Science and Technology
Video Google: A Text Retrieval Approach to Object Matching in Videos
ICCV '03 Proceedings of the Ninth IEEE International Conference on Computer Vision - Volume 2
Geographic location tags on digital images
MULTIMEDIA '03 Proceedings of the eleventh ACM international conference on Multimedia
Scale & Affine Invariant Interest Point Detectors
International Journal of Computer Vision
Distinctive Image Features from Scale-Invariant Keypoints
International Journal of Computer Vision
Generating query substitutions
Proceedings of the 15th international conference on World Wide Web
Large-Scale Concept Ontology for Multimedia
IEEE MultiMedia
To search or to label?: predicting the performance of search-based automatic image classifiers
MIR '06 Proceedings of the 8th ACM international workshop on Multimedia information retrieval
Video search reranking via information bottleneck principle
MULTIMEDIA '06 Proceedings of the 14th annual ACM international conference on Multimedia
The Search: How Google and Its Rivals Rewrote the Rules of Business and Transformed Our Culture
The Search: How Google and Its Rivals Rewrote the Rules of Business and Transformed Our Culture
IGroup: presenting web image search results in semantic clusters
Proceedings of the SIGCHI Conference on Human Factors in Computing Systems
Why we tag: motivations for annotation in mobile and online media
Proceedings of the SIGCHI Conference on Human Factors in Computing Systems
Learning to rank: from pairwise approach to listwise approach
Proceedings of the 24th international conference on Machine learning
Canonical image selection from the web
Proceedings of the 6th ACM international conference on Image and video retrieval
A reranking approach for context-based concept fusion in video indexing and retrieval
Proceedings of the 6th ACM international conference on Image and video retrieval
Video search in concept subspace: a text-like paradigm
Proceedings of the 6th ACM international conference on Image and video retrieval
Proceedings of the 15th international conference on Multimedia
Video search reranking through random walk over document-level context graph
Proceedings of the 15th international conference on Multimedia
Semantic concept-based query expansion and re-ranking for multimedia retrieval
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
Multimedia search with pseudo-relevance feedback
CIVR'03 Proceedings of the 2nd international conference on Image and video retrieval
Query expansion for hash-based image object retrieval
MM '09 Proceedings of the 17th ACM international conference on Multimedia
Canonical image selection and efficient image graph construction for large-scale flickr photos
MM '09 Proceedings of the 17th ACM international conference on Multimedia
Adaptive Learning for Multimodal Fusion in Video Search
PCM '09 Proceedings of the 10th Pacific Rim Conference on Multimedia: Advances in Multimedia Information Processing
Knowledge discovery over community-sharing media: from signal to intelligence
ICME'09 Proceedings of the 2009 IEEE international conference on Multimedia and Expo
Ranking canonical views for tourist attractions
Multimedia Tools and Applications
IEEE Transactions on Circuits and Systems for Video Technology
SNDocRank: a social network-based video search ranking framework
Proceedings of the international conference on Multimedia information retrieval
Boosting object retrieval by estimating pseudo-objects
ICIP'09 Proceedings of the 16th IEEE international conference on Image processing
Introduction to special issue on learning to rank for information retrieval
Information Retrieval
Boosting image object retrieval and indexing by automatically discovered pseudo-objects
Journal of Visual Communication and Image Representation
Personalized photograph ranking and selection system
Proceedings of the international conference on Multimedia
Context dependent SVMs for interconnected image network annotation
Proceedings of the international conference on Multimedia
Interactive inquiry for object of interest in video playback by motion-augmented graph cut
Proceedings of the international conference on Multimedia
Proceedings of the international conference on Multimedia
Context modeling in computer vision: techniques, implications, and applications
Multimedia Tools and Applications
Context-based support vector machines for interconnected image annotation
ACCV'10 Proceedings of the 10th Asian conference on Computer vision - Volume Part I
Latent visual context learning for web image applications
Pattern Recognition
Multi-layer graph-based semi-supervised learning for large-scale image datasets using mapreduce
Proceedings of the 34th international ACM SIGIR conference on Research and development in Information Retrieval
Image search result summarization with informative priors
ACCV'09 Proceedings of the 9th Asian conference on Computer Vision - Volume Part III
A unified context model for web image retrieval
ACM Transactions on Multimedia Computing, Communications, and Applications (TOMCCAP)
Graph-based semi-supervised learning with multi-modality propagation for large-scale image datasets
Journal of Visual Communication and Image Representation
Social-oriented visual image search
Computer Vision and Image Understanding
Journal of Visual Communication and Image Representation
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The advent of media-sharing sites like Flickr has drastically increased the volume of community-contributed multimedia resources on the web. However, due to their magnitudes, these collections are increasingly difficult to understand, search and navigate. To tackle these issues, a novel search system, ContextSeer, is developed to improve search quality (by reranking) and recommend supplementary information (i.e., search-related tags and canonical images) by leveraging the rich context cues, including the visual content, high-level concept scores, time and location metadata. First, we propose an ordinal reranking algorithm to enhance the semantic coherence of text-based search result by mining contextual patterns in an unsupervised fashion. A novel feature selection method, wc-tf-idf is also developed to select informative context cues. Second, to represent the diversity of search result, we propose an efficient algorithm cannoG to select multiple canonical images without clustering. Finally, ContextSeer enhances the search experience by further recommending relevant tags. Besides being effective and unsupervised, the proposed methods are efficient and can be finished at query time, which is vital for practical online applications. To evaluate ContextSeer, we have collected 0.5 million consumer photos from Flickr and manually annotated a number of queries by pooling to form a new benchmark, Flickr550. Ordinal reranking achieves significant performance gains both in Flcikr550 and TRECVID search benchmarks. Through a subjective test, cannoG expresses its representativeness and excellence for recommending multiple canonical images.