Titlebook: Image and Video Retrieval; 5th Internatinoal Co Hari Sundaram,Milind Naphade,Yong Rui Conference proceedings 2006 Springer-Verlag Berlin He

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Keyframe Retrieval by Keypoints: Can Point-to-Point Matching Help?of improvement when point-to-point (P2P) constraint is imposed on the bag-of-words. We conduct investigation on two tasks: near-duplicate keyframe (NDK) retrieval, and high-level concept classification, covering parts of TRECVID 2003 and 2005 datasets. In P2P matching, we propose a one-to-one symmet

Obedient

Local Feature Trajectories for Efficient Event-Based Indexing of Video Sequencesrder to describe events, none is sufficiently generic and computationally efficient to be applied to event-based retrieval of video sequences within large databases. In this paper, we propose a novel index of video sequences which aims at describing their dynamic content. This index relies on the lo

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A Cascade of Unsupervised and Supervised Neural Networks for Natural Image Classificationibed by a distribution of local prototype features obtained by projecting local signatures on a self-organizing map. The local signatures describe singularities around interest points detected by a wavelet-based salient points detector. Finally, images are classified by using a multilayer perceptron

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craven

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Video Clip Matching Using MPEG-7 Descriptors and Edit Distancents of interest. We present a method to obtain a video representation suitable for this task, and show how to use this representation in a matching scheme. In contrast with existing works, the proposed approach is entirely based on features and descriptors taken from the well established MPEG-7 stan

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Ceramic