Conceptual structures: information processing in mind and machine
Conceptual structures: information processing in mind and machine
RELIEF: combining expressiveness and rapidity into a single system
Proceedings of the 21st annual international ACM SIGIR conference on Research and development in information retrieval
A unified framework for semantics and feature based relevance feedback in image retrieval systems
MULTIMEDIA '00 Proceedings of the eighth ACM international conference on Multimedia
Content-Based Image Retrieval at the End of the Early Years
IEEE Transactions on Pattern Analysis and Machine Intelligence
The LIMSI Broadcast News transcription system
Speech Communication - Special issue on automatic transcription of broadcast news data
An Approach to a Content-Based Retrieval ofMultimedia Data
Multimedia Tools and Applications
Integrated Video and Text for Content-based Access to Video Databases
Multimedia Tools and Applications
Unifying Keywords and Visual Contents in Image Retrieval
IEEE MultiMedia
Semantic Annotation of Sports Videos
IEEE MultiMedia
Framework for Synthesizing Semantic-Level Indices
Multimedia Tools and Applications
Assisted Video Sequences Indexing: Motion Analysis based on Interest Points
ICIAP '99 Proceedings of the 10th International Conference on Image Analysis and Processing
Proceedings of the 26th annual international ACM SIGIR conference on Research and development in informaion retrieval
Experimental result analysis for a generative probabilistic image retrieval model
Proceedings of the 26th annual international ACM SIGIR conference on Research and development in informaion retrieval
Learning query-class dependent weights in automatic video retrieval
Proceedings of the 12th annual ACM international conference on Multimedia
Classification of user image descriptions
International Journal of Human-Computer Studies
Evaluating the impact of selection noise in community-based web search
Proceedings of the 28th annual international ACM SIGIR conference on Research and development in information retrieval
A model for weighting image objects in home photographs
Proceedings of the 14th ACM international conference on Information and knowledge management
Joint visual-text modeling for automatic retrieval of multimedia documents
Proceedings of the 13th annual ACM international conference on Multimedia
Learning the semantics of multimedia queries and concepts from a small number of examples
Proceedings of the 13th annual ACM international conference on Multimedia
Image annotations by combining multiple evidence & wordNet
Proceedings of the 13th annual ACM international conference on Multimedia
Automatic discovery of query-class-dependent models for multimodal search
Proceedings of the 13th annual ACM international conference on 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
Supervised Learning of Semantic Classes for Image Annotation and Retrieval
IEEE Transactions on Pattern Analysis and Machine Intelligence
Dual cross-media relevance model for image annotation
Proceedings of the 15th international conference on Multimedia
Unsupervised Speaker Change Detection Using SVM Training Misclassification Rate
IEEE Transactions on Computers
Annotation and retrieval of structured video documents
ECIR'03 Proceedings of the 25th European conference on IR research
Multiple Bernoulli relevance models for image and video annotation
CVPR'04 Proceedings of the 2004 IEEE computer society conference on Computer vision and pattern recognition
A full-text framework for the image retrieval signal/semantic integration
DEXA'05 Proceedings of the 16th international conference on Database and Expert Systems Applications
ECIR'05 Proceedings of the 27th European conference on Advances in Information Retrieval Research
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
ClassView: hierarchical video shot classification, indexing, and accessing
IEEE Transactions on Multimedia
IEEE Transactions on Image Processing
Factor graph framework for semantic video indexing
IEEE Transactions on Circuits and Systems for Video Technology
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Traditional multimedia (video) retrieval systems use the keyword-based approach in order to make the search process fast although this approach has several shortcomings and limitations related to the way the user is able to formulate her/his information need. Typical Web multimedia retrieval systems illustrate this paradigm in the sense that the result of a search consists of a collection of thousands of multimedia documents, many of which would be irrelevant or not fully exploited by the typical user. Indeed, according to studies related to users' behavior, an individual is mostly interested in the initial documents returned during a search session and therefore a multimedia retrieval system is to model the multimedia content as precisely as possible to allow for the first retrieved images to be fully relevant to the user's information need. For this, the keyword-based approach proves to be clearly insufficient and the need for a high-level index and query language, addressing the issue of combining modalities within expressive frameworks for video indexing and retrieval is of huge importance and the only solution for achieving significant retrieval performance. This paper presents a multi-facetted conceptual framework integrating multiple characterizations of the visual and audio contents for automatic video retrieval. It relies on an expressive representation formalism handling high-level video descriptions and a full-text query framework in an attempt to operate video indexing and retrieval beyond trivial low-level processes, keyword-annotation frameworks and state-of-the art architectures loosely-coupling visual and audio descriptions. Experiments on the multimedia topic search task of the TRECVID evaluation campaign validate our proposal.