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Bag-of-features (BOF) derived from local visual features has recently been widely used in content based image classification and scene detection owing to their simplicity and good performance. However, the hyper-dimension of the BOF vector has limited its implementation in large scale datasets because of its high computation complexity. In this paper, we present a new strategy based on the multi-resolution...
People take more and more photos at different time and different events, however, these photos are often put into one giant folder and they are seldom annotated or organized. As the result, people often find it difficult to find photos they want. The problem of media organization and management of such personal photo collections is becoming a much more pressing issue. Event is one of the most important...
This paper discusses the use of the Scale Invariance Feature Transform (SIFT) features for bare hand gesture recognition. In the training stage, we can not use SIFT keypoints of training images directly with a multi-class Support Vector Machine (SVM) to build a training classifier model, because of the space incompatibility of the SIFT keypoints for every training image that contains the hand gesture...
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