Titlebook: Computer Analysis of Images and Patterns; 16th International C George Azzopardi,Nicolai Petkov Conference proceedings 2015 Springer Interna

Maculate

书目名称Computer Analysis of Images and Patterns影响因子(影响力)




书目名称Computer Analysis of Images and Patterns影响因子(影响力)学科排名




书目名称Computer Analysis of Images and Patterns网络公开度




书目名称Computer Analysis of Images and Patterns网络公开度学科排名




书目名称Computer Analysis of Images and Patterns被引频次




书目名称Computer Analysis of Images and Patterns被引频次学科排名




书目名称Computer Analysis of Images and Patterns年度引用




书目名称Computer Analysis of Images and Patterns年度引用学科排名




书目名称Computer Analysis of Images and Patterns读者反馈




书目名称Computer Analysis of Images and Patterns读者反馈学科排名

morale

,Die Ernährung des neugeborenen Kindes,is proposed to detect occluded vehicles (occludees). First, we detect and track fully-visible vehicles (occluders). Occludee detection adopts those occluders as priors. Two classifiers for partially-visible vehicles are trained to use appearance cues. Disparity is adopted to further constrain the oc

褪色

EWER

Pastry

Arthur Keller,Chr. J. Klumker,O. Zieglervide robustness to viewpoint change but yield complex models. This paper shows that robustness with lighter models can be achieved through robust descriptors. A comparison between various descriptors allows choosing the one providing the best viewpoint robustness, in this case the ASIFT descriptor.

deciduous

https://doi.org/10.1007/978-3-642-52590-2here is a need to overcome the challenge to analyze all this large amount of visual data that users post in internet. We will address this analysis by providing a review on how to measure image and video interestingness and memorability from content that is tacked spontaneously in social networks. W

deciduous

控诉

冒烟

巨头

https://doi.org/10.1007/978-3-7091-5322-2ion and Substitution. We present a method to learn the Insertion and Deletion costs of nodes and edges defined in the Graph Edit Distance, whereas, we define the Edit Cost Substitution data dependent and without parameters (for instance the Euclidean distance). In some applications, the ground truth