Where should the person stop and the information search interface start?
Information Processing and Management: an International Journal
On term selection for query expansion
Journal of Documentation
Relevance feedback and other query modification techniques
Information retrieval
A case for interaction: a study of interactive information retrieval behavior and effectiveness
Proceedings of the SIGCHI Conference on Human Factors in Computing Systems
Information Retrieval Systems: Theory and Implementation
Information Retrieval Systems: Theory and Implementation
The LIMSI Broadcast News transcription system
Speech Communication - Special issue on automatic transcription of broadcast news data
Learning to Classify Text Using Support Vector Machines: Methods, Theory and Algorithms
Learning to Classify Text Using Support Vector Machines: Methods, Theory and Algorithms
MindReader: Querying Databases Through Multiple Examples
VLDB '98 Proceedings of the 24rd International Conference on Very Large Data Bases
Negative pseudo-relevance feedback in content-based video retrieval
MULTIMEDIA '03 Proceedings of the eleventh ACM international conference on Multimedia
A survey on the use of relevance feedback for information access systems
The Knowledge Engineering Review
Relevance feedback: perceptual learning and retrieval in bio-computing, photos, and video
Proceedings of the 6th ACM SIGMM international workshop on Multimedia information retrieval
Evaluating implicit feedback models using searcher simulations
ACM Transactions on Information Systems (TOIS)
Search the audio, browse the video: a generic paradigm for video collections
EURASIP Journal on Applied Signal Processing
A hybrid relevance-feedback approach to text retrieval
ECIR'03 Proceedings of the 25th European conference on IR research
Vocabulary independent spoken term detection
SIGIR '07 Proceedings of the 30th annual international ACM SIGIR conference on Research and development in information retrieval
Semisupervised Query Expansion with Minimal Feedback
IEEE Transactions on Knowledge and Data Engineering
Exploiting external knowledge to improve video retrieval
Proceedings of the international conference on Multimedia information retrieval
Sinimbu --- multimodal queries to support biodiversity studies
ICCSA'12 Proceedings of the 12th international conference on Computational Science and Its Applications - Volume Part I
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Video indexing and retrieval systems allow users to find relevant video segments for a given information need. A multimodal video index may include speech indices, a text-from-screen (OCR) index, semantic visual concepts, content-based image features, audio features and more. Formulating an efficient multimodal query for a given information need is much less intuitive and more challenging for the user than of composing a text query in document search. This paper describes a video retrieval system that uses mutual relevance feedback for multimodal query formulation. Through an iterative search and browse session, the user provides relevance feedback on system's output and the system provides the user a mutual feedback which leads to better query and better retrieval results. Official evaluation at the NIST TRECVID 2004 Search Task is provided for both Manual and Interactive search. It is shown that in the Manual task the queries result from the mutual feedback on the training data significantly improve the retrieval performances. A further improvement over the manual search is achieved in the interactive task by using both browsing and mutual feedback on the test set.