Analyses of multiple evidence combination
Proceedings of the 20th annual international ACM SIGIR conference on Research and development in information retrieval
Learning query-class dependent weights in automatic video retrieval
Proceedings of the 12th annual ACM international conference on Multimedia
Independence of contributing retrieval strategies in data fusion for effective information retrieval
IRSG'98 Proceedings of the 20th Annual BCS-IRSG conference on Information Retrieval Research
Experience retrieval in a ubiquitous home
CARPE '05 Proceedings of the 2nd ACM workshop on Continuous archival and retrieval of personal experiences
A usage study of retrieval modalities for video shot retrieval
Information Processing and Management: an International Journal
Video search in concept subspace: a text-like paradigm
Proceedings of the 6th ACM international conference on Image and video retrieval
Personalized retrieval of sports video
Proceedings of the international workshop on Workshop on multimedia information retrieval
A review of text and image retrieval approaches for broadcast news video
Information Retrieval
Novelty detection for cross-lingual news stories with visual duplicates and speech transcripts
Proceedings of the 15th international conference on Multimedia
Video search re-ranking via multi-graph propagation
Proceedings of the 15th international conference on Multimedia
An integrated statistical model for multimedia evidence combination
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
Personalized retrieval of sports video based on multi-modal analysis and user preference acquisition
Multimedia Tools and Applications
Foundations and Trends in Information Retrieval
Context-aware person identification in personal photo collections
IEEE Transactions on Multimedia - Special issue on integration of context and content
Content based image retrieval using unclean positive examples
IEEE Transactions on Image Processing
Image retrieval using noisy query
ICME'09 Proceedings of the 2009 IEEE international conference on Multimedia and Expo
Video shot boundary detection: Seven years of TRECVid activity
Computer Vision and Image Understanding
Series feature aggregation for content-based image retrieval
Computers and Electrical Engineering
Co-reranking by mutual reinforcement for image search
Proceedings of the ACM International Conference on Image and Video Retrieval
Image retrieval based on bag of images
ICIP'09 Proceedings of the 16th IEEE international conference on Image processing
Properties of optimally weighted data fusion in CBMIR
Proceedings of the 33rd international ACM SIGIR conference on Research and development in information retrieval
Boosting image object retrieval and indexing by automatically discovered pseudo-objects
Journal of Visual Communication and Image Representation
MQSS: multimodal query suggestion and searching for video search
Multimedia Tools and Applications
Image similarity: from syntax to weak semantics
Multimedia Tools and Applications
Simulating the future of concept-based video retrieval under improved detector performance
Multimedia Tools and Applications
Content-Based Multimedia Retrieval Using Feature Correlation Clustering and Fusion
International Journal of Multimedia Data Engineering & Management
Multimedia search reranking: A literature survey
ACM Computing Surveys (CSUR)
The uncertain representation ranking framework for concept-based video retrieval
Information Retrieval
Retrieval of high-dimensional visual data: current state, trends and challenges ahead
Multimedia Tools and Applications
Hi-index | 0.00 |
It is now accepted that the most effective video shot retrieval is based on indexing and retrieving clips using multiple, parallel modalities such as text-matching, image-matching and feature matching and then combining or fusing these parallel retrieval streams in some way. In this paper we investigate a range of fusion methods for combining based on multiple visual features (colour, edge and texture), for combining based on multiple visual examples in the query and for combining multiple modalities (text and visual). Using three TRECVid collections and the TRECVid search task, we specifically compare fusion methods based on normalised score and rank that use either the average, weighted average or maximum of retrieval results from a discrete Jelinek-Mercer smoothed language model. We also compare these results with a simple probability-based combination of the language model results that assumes all features and visual examples are fully independent.