Titlebook: New Trends in Image Analysis and Processing – ICIAP 2019; ICIAP International Marco Cristani,Andrea Prati,Nicu Sebe Conference proceedings

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书目名称New Trends in Image Analysis and Processing – ICIAP 2019影响因子(影响力)学科排名




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书目名称New Trends in Image Analysis and Processing – ICIAP 2019网络公开度学科排名




书目名称New Trends in Image Analysis and Processing – ICIAP 2019被引频次




书目名称New Trends in Image Analysis and Processing – ICIAP 2019被引频次学科排名




书目名称New Trends in Image Analysis and Processing – ICIAP 2019年度引用




书目名称New Trends in Image Analysis and Processing – ICIAP 2019年度引用学科排名




书目名称New Trends in Image Analysis and Processing – ICIAP 2019读者反馈




书目名称New Trends in Image Analysis and Processing – ICIAP 2019读者反馈学科排名

大喘气

Conference proceedings 2019eHealth in the Big Data and Deep Learning Era (e-BADLE 2019); .International Workshop on Deep Understanding Shopper Behaviors and Interactions in Intelligent Retail Environments (DEEPRETAIL 2019); Industrial Session..

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他去就结束

Conference proceedings 2019s and Processing, ICIAP 2019, in Trento, Italy, in September 2019: Second International .Workshop on Recent Advances in Digital Security: Biometrics and Forensics. (BioFor 2019); First International Workshop on Pattern Recognition for Cultural . Heritage (PatReCH 2019); First International Workshop

生存环境

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exhibit

Segmentation of Multi-temporal UV-Induced Fluorescence Images of Historical Violins. As test set we used images of two important violins held in “Museo del Violino” in Cremona (Italy), periodically acquired during a six-month period, and images of a sample violin altered in laboratory to reproduce a long-term evolution.

好色

Modern vs Diplomatic Transcripts for Historical Handwritten Text Recognitionrnized transcripts with expanded abbreviations. Experiments comparing the performance of the different approaches proposed are carried out on a document collection related with Spanish naval commerce during the XV–XIX centuries, which includes extremely difficult handwritten text images.

octogenarian

大方不好

Blind Print-Cam Data Hiding Exploiting Color Perception(e.g., for different size of printed cover image, in different illumination conditions, with various geometric distortions). Performance and robustness of the proposed solution are tested with respect to different metrics to prove the feasibility of the technique.