Titlebook: Computer Vision; Second CCF Chinese C Jinfeng Yang,Qinghua Hu,Deyu Meng Conference proceedings 2017 Springer Nature Singapore Pte Ltd. 2017

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Visual Saliency Fusion Based Multi-feature for Semantic Image Retrievalnd the output saliency maps were fused by double low rank matrix recovery method. Then the images were segmented into foreground and background according to the fusion result. As the foreground and background had the different impacts on the semantic understanding of the image, different features re

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Structured Multi-view Supervised Feature Selection Algorithm Research multi-view feature selection methods only consider the importance of each view features, but ignore the importance of individual feature in each view in the feature selection progress. In this paper we propose a novel supervised feature selection method based on structured multi-view sparse regular

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An Automatic Shoeprint Retrieval Method Using Neural Codes for Commercial Shoeprint Scannersently reported descriptor called neural code. The first step of feature extraction is rotation compensation. Then, shoeprint image is divided into top region and bottom region, and two neural codes for both regions are obtained. Afterwards, a matching score between test image and reference image is