The nature of statistical learning theory
The nature of statistical learning theory
A language modeling approach to information retrieval
Proceedings of the 21st annual international ACM SIGIR conference on Research and development in information retrieval
A study of smoothing methods for language models applied to Ad Hoc information retrieval
Proceedings of the 24th annual international ACM SIGIR conference on Research and development in information retrieval
Modern Information Retrieval
An information-theoretic perspective of tf—idf measures
Information Processing and Management: an International Journal
An efficient boosting algorithm for combining preferences
The Journal of Machine Learning Research
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
Video search reranking via information bottleneck principle
MULTIMEDIA '06 Proceedings of the 14th annual ACM international conference on Multimedia
The challenge problem for automated detection of 101 semantic concepts in multimedia
MULTIMEDIA '06 Proceedings of the 14th annual ACM international conference on Multimedia
Multimedia search with pseudo-relevance feedback
CIVR'03 Proceedings of the 2nd international conference on Image and video retrieval
SURF: speeded up robust features
ECCV'06 Proceedings of the 9th European conference on Computer Vision - Volume Part I
A comparison of score, rank and probability-based fusion methods for video shot 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
Relay boost fusion for learning rare concepts in multimedia
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
Video retrieval with multi-modal features
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
Learning structured concept-segments for interactive video retrieval
CIVR '08 Proceedings of the 2008 international conference on Content-based image and video retrieval
Experiments in interactive video search by addition and subtraction
CIVR '08 Proceedings of the 2008 international conference on Content-based image and video retrieval
Fusing semantics, observability, reliability and diversity of concept detectors for video search
MM '08 Proceedings of the 16th ACM international conference on Multimedia
ContextSeer: context search and recommendation at query time for shared consumer photos
MM '08 Proceedings of the 16th ACM international conference on Multimedia
Keyword-based concept search on consumer photos by web-based kernel function
MM '08 Proceedings of the 16th ACM international conference on Multimedia
Video News Retrieval Incorporating Relevant Terms Based on Distribution of Document Frequency
PCM '08 Proceedings of the 9th Pacific Rim Conference on Multimedia: Advances in Multimedia Information Processing
Graph-Based Pairwise Learning to Rank for Video Search
MMM '09 Proceedings of the 15th International Multimedia Modeling Conference on Advances in Multimedia Modeling
Query representation by structured concept threads with application to interactive video retrieval
Journal of Visual Communication and Image Representation
Foundations and Trends in Information Retrieval
Image categorization combining neighborhood methods and boosting
LS-MMRM '09 Proceedings of the First ACM workshop on Large-scale multimedia retrieval and mining
Unified video annotation via multigraph learning
IEEE Transactions on Circuits and Systems for Video Technology
Towards surveillance video search by natural language query
Proceedings of the ACM International Conference on Image and Video Retrieval
Grounding spatial prepositions for video search
Proceedings of the 2009 international conference on Multimodal interfaces
Multigraph-based query-independent learning for video search
IEEE Transactions on Circuits and Systems for Video Technology
IEEE Transactions on Circuits and Systems for Video Technology
Grounding spatial language for video search
International Conference on Multimodal Interfaces and the Workshop on Machine Learning for Multimodal Interaction
VisionGo: Towards video retrieval with joint exploration of human and computer
Information Sciences: an International Journal
Video semantic concept detection using ontology
Proceedings of the Third International Conference on Internet Multimedia Computing and Service
Extending information unit across media streams for improving retrieval effectiveness
Data & Knowledge Engineering
Zero-shot video retrieval using content and concepts
Proceedings of the 22nd ACM international conference on Conference on information & knowledge management
Multimedia search reranking: A literature survey
ACM Computing Surveys (CSUR)
The uncertain representation ranking framework for concept-based video retrieval
Information Retrieval
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Though both quantity and quality of semantic concept detection in video are continuously improving, it still remains unclear how to exploit these detected concepts as semantic indices in video search, given a specific query. In this paper, we tackle this problem and propose a video search framework which operates like searching text documents. Noteworthy for its adoption of the well-founded text search principles, this framework first selects a few related concepts for a given query, by employing a tf-idf like scheme, called c-tf-idf, to measure the informativeness of the concepts to this query. These selected concepts form a concept subspace. Then search can be conducted in this concept subspace, either by a Vector Model or a Language Model. Further, two algorithms, i.e., Linear Summation and Random Walk through Concept-Link, are explored to combine the concept search results and other baseline search results in a reranking scheme. This framework is both effective and efficient. Using a lexicon of 311 concepts from the LSCOM concept ontology, experiments conducted on the TRECVID 2006 search data set show that: when used solely, search within the concept subspace achieves the state-of-the-art concept search result; when used to rerank the baseline results, it can improve over the top 20 automatic search runs in TRECVID 2006 on average by approx. 20%, on the most significant one by approx. 50%, all within 180 milliseconds on a normal PC.