ACM Computing Surveys (CSUR)
The LIMSI Broadcast News transcription system
Speech Communication - Special issue on automatic transcription of broadcast news data
A generalized kernel approach to dissimilarity-based classification
The Journal of Machine Learning Research
Negative pseudo-relevance feedback in content-based video retrieval
MULTIMEDIA '03 Proceedings of the eleventh ACM international conference on Multimedia
Optimal multimodal fusion for multimedia data analysis
Proceedings of the 12th annual ACM international conference on Multimedia
Unsupervised event discrimination based on nonlinear temporal modeling of activity content
Pattern Analysis & Applications
Using information content to evaluate semantic similarity in a taxonomy
IJCAI'95 Proceedings of the 14th international joint conference on Artificial intelligence - Volume 1
Dominant feature vectors based audio similarity measure
PCM'04 Proceedings of the 5th Pacific Rim Conference on Advances in Multimedia Information Processing - Volume Part II
Interactive retrieval of video sequences from local feature dynamics
AMR'05 Proceedings of the Third international conference on Adaptive Multimedia Retrieval: user, context, and feedback
Similarity learning via dissimilarity space in CBIR
MIR '06 Proceedings of the 8th ACM international workshop on Multimedia information retrieval
A nearest-neighbor approach to relevance feedback in content based image retrieval
Proceedings of the 6th ACM international conference on Image and video retrieval
Combining multimodal preferences for multimedia information retrieval
Proceedings of the international workshop on Workshop on multimedia information retrieval
Dissimilarity representation in multi-feature spaces for image retrieval
ICIAP'11 Proceedings of the 16th international conference on Image analysis and processing: Part I
Asymmetric learning and dissimilarity spaces for content-based retrieval
CIVR'06 Proceedings of the 5th international conference on Image and Video Retrieval
Interactive retrieval of video sequences from local feature dynamics
AMR'05 Proceedings of the Third international conference on Adaptive Multimedia Retrieval: user, context, and feedback
Further results on dissimilarity spaces for hyperspectral images RF-CBIR
Pattern Recognition Letters
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Different strategies to learn user semantic queries from dissimilarity representations of audio-visual content are presented. When dealing with large corpora of videos documents, using a feature representation requires the on-line computation of distances between all documents and a query. Hence, a dissimilarity representation may be preferred because its offline computation speeds up the retrieval process. We show how distances related to visual and audio video features can directly be used to learn complex concepts from a set of positive and negative examples provided by the user. Based on the idea of dissimilarity spaces, we derive three algorithms to fuse modalities and therefore to enhance the precision of retrieval results. The evaluation of our technique is performed on artificial data and on the annotated TRECVID corpus.