Content-Based Image Retrieval at the End of the Early Years
IEEE Transactions on Pattern Analysis and Machine Intelligence
Introduction to MPEG-7: Multimedia Content Description Interface
Introduction to MPEG-7: Multimedia Content Description Interface
Multimodal metadata fusion using causal strength
Proceedings of the 13th annual ACM international conference on Multimedia
Probabilistic latent semantic analysis
UAI'99 Proceedings of the Fifteenth conference on Uncertainty in artificial intelligence
Factor graph framework for semantic video indexing
IEEE Transactions on Circuits and Systems for Video Technology
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The population of the World Wide Web with media of all types such as texts, images, videos and audio files in recent years raised the attractiveness of multimedia retrieval. With our work on the influence of dependencies between modalities and features we investigate why these approaches still do not perform convincingly better than plain text search approaches when applied to large, noisy collections like web content, even though these approaches have more information at their hands. This article suggests that, due to the size and noise, the modality's dependencies necessary for efficient information fusion becomes small and hard to exploit. Preliminary experiments with two multi modal collections underpin this statement.