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The design of visual feature extraction with scale invariant feature transform (SIFT) is widely used for recognition of object in logos. However, the real-time implementation suffers from heavy computation, and high memory storage, long latency because of its frame level computation, so we propose PCSIFT(principal component analysis SIFT) to over come all the drawback by recognition and matching multiple...
Top down image semantics play a major role in predicting where people look in images. Present state-of-the-art approaches to model human visual attention incorporate high level object detections signifying top down image semantics in a separate channel along with other bottom up saliency channels. However, multiple objects in a scene are competing to attract our attention and this interaction is ignored...
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