Titlebook: Computer Vision; CCF Chinese Conferen Hongbin Zha,Xilin Chen,Qiguang Miao Conference proceedings 2015 Springer-Verlag Berlin Heidelberg 201

前面

The Social Services and the Inner Citywith spatial distributions. By comparing with SIFT, SURF and ORB, our method can get much more correct correspondences on both synthetic and real data under the influence of complex environments or transformations especially in irregular deformation and repeated patterns.

心胸狹窄

Salient Region Detection by Region Color Contrast and Connectivity Prior, approach on three standard benchmark datasets with other state-of-the-art approaches, the results show that the proposed method has the higher precision and recall, the final maps are more closed to the ground truth.

Offstage

Automatic Image Semantic Annotation Based on the Tourism Domain Ontological Knowledge Base,conditions. At last, we can use the ontological knowledge base to ratiocinate so as to enhance the accuracy of image annotation, and what’s more, to associate annotation words with the name of scenic spot so that we can make annotation words more specific.

內閣

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Hongbin Zha,Xilin Chen,Qiguang MiaoIncludes supplementary material:

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Flu表流動

https://doi.org/10.1007/978-3-662-48570-5Deep learning; object detection; object recognition; object tracking; video tracking; sparse representati

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FOLD

Computer Vision978-3-662-48570-5Series ISSN 1865-0929 Series E-ISSN 1865-0937

Palpitation

The World-Remoteness of the Textlly when the color of road is close to that of background. This paper studies a new road networks extraction from remote sensing images based on the shear transform, the directional segmentation, shape features and a skeletonization algorithm. The proposed method includes the following steps. Firstl