Mining association rules between sets of items in large databases
SIGMOD '93 Proceedings of the 1993 ACM SIGMOD international conference on Management of data
Content-Based Image Retrieval at the End of the Early Years
IEEE Transactions on Pattern Analysis and Machine Intelligence
Modern Information Retrieval
An information-theoretic perspective of tf—idf measures
Information Processing and Management: an International Journal
Learning the semantics of multimedia queries and concepts from a small number of examples
Proceedings of the 13th annual ACM international conference on Multimedia
Large-Scale Concept Ontology for Multimedia
IEEE MultiMedia
The Semantic Pathfinder: Using an Authoring Metaphor for Generic Multimedia Indexing
IEEE Transactions on Pattern Analysis and Machine Intelligence
Evaluation campaigns and TRECVid
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
Extreme video retrieval: joint maximization of human and computer performance
MULTIMEDIA '06 Proceedings of the 14th annual ACM international conference on Multimedia
Learning to rank: from pairwise approach to listwise approach
Proceedings of the 24th international conference on Machine learning
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
Video diver: generic video indexing with diverse features
Proceedings of the international workshop on Workshop on multimedia information retrieval
The importance of query-concept-mapping for automatic video retrieval
Proceedings of the 15th international conference on Multimedia
Establishing the utility of non-text search for news video retrieval with real world users
Proceedings of the 15th international conference on Multimedia
Query on demand video browsing
Proceedings of the 15th international conference on Multimedia
Ontology-enriched semantic space for video search
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
ICSC '07 Proceedings of the International Conference on Semantic Computing
Learning structured concept-segments for interactive video retrieval
CIVR '08 Proceedings of the 2008 international conference on Content-based image and video retrieval
The use and utility of high-level semantic features in video retrieval
CIVR'05 Proceedings of the 4th international conference on Image and Video Retrieval
Video retrieval using high level features: exploiting query matching and confidence-based weighting
CIVR'06 Proceedings of the 5th international conference on Image and Video Retrieval
Using high-level semantic features in video retrieval
CIVR'06 Proceedings of the 5th international conference on Image and Video Retrieval
A Learned Lexicon-Driven Paradigm for Interactive Video Retrieval
IEEE Transactions on Multimedia
Adding Semantics to Detectors for Video Retrieval
IEEE Transactions on Multimedia
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In this paper, we provide a new formulation for video queries as structured combination of concept threads, contributing to the general query-by-concept paradigm. Occupying a low-dimensional region in the concept space, concept thread defines a ranked list of video documents ordered by their combined concept predictions. This localized representation incorporates the previous concept based formulation as a special case and extends the restricted AND concept combination logic to a two-level concept inference network. We apply this new formulation to interactive video retrieval and utilize abundant feedback information to mine the latent semantic concept threads for answering complex query semantics. Simulative experiments which are conducted on two years' TRECVID data sets with two sets of concept lexicons demonstrate the advantage of the proposed formulation. The proposed query formulation offers some 60% improvements over the simple browsing search baseline in nearly real time. It has clear advantages over c-tf-idf and achieves better results over the state-of-the-art online ordinal reranking approach. Meanwhile, it not only alleviates user's workload significantly but also is robust to user mislabeling errors.