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Computer Vision and Image Processing: 5th International Conference, CVIP 2020, Prayagraj, India, December 4-6, 2020, Revised Selected Papers, Part II [Paperback]

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  • Category: Books (Computers)
  • ISBN-10:  9811610916
  • ISBN-10:  9811610916
  • ISBN-13:  9789811610912
  • ISBN-13:  9789811610912
  • Publisher:  Springer
  • Publisher:  Springer
  • Binding:  Paperback
  • Binding:  Paperback
  • Pub Date:  01-Apr-2021
  • Pub Date:  01-Apr-2021
  • SKU:  9811610916-11-SPRI
  • SKU:  9811610916-11-SPRI
  • Pages:  559
  • Pages:  559
  • Item ID: 105233700
  • List Price: $129.99
  • Seller: ShopSpell
  • Ships in: 5 business days
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  • Delivery by: Oct 03 to Oct 05
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This three-volume set (CCIS 1367-1368) constitutes the refereed proceedings of the 5th International Conference on Computer Vision and Image Processing, CVIP 2020, held in Prayagraj, India, in December 2020. Due to the COVID-19 pandemic the conference was partially held online. 

The 134 papers papers were carefully reviewed and selected from 352 submissions. The papers present recent research on such topics as biometrics, forensics, content protection, image enhancement/super-resolution/restoration, motion and tracking, image or video retrieval, image, image/video processing for autonomous vehicles, video scene understanding, human-computer interaction, document image analysis, face, iris, emotion, sign language and gesture recognition, 3D image/video processing, action and event detection/recognition, medical image and video analysis, vision-based human GAIT analysis, remote sensing, and more.
A Comparative analysis on AI techniques for Grape leaf disease recognition.-  Sign language recognition using cluster and chunk-based  feature extraction and symbolic representation.- Action Recognition in Haze Using an Efficient Fusion of Spatial and Temporal Features.- Human Action Recognition from 3D Landmark   Points of the Performer.- A Combined Wavelet and Variational Mode Decomposition Approach for Denoising Texture Images.- Two-Image Approach to Reflection Removal with Deep Learning.- Visual Question Answering using Deep Learning: A Survey and Performance Analysis.- Image Aesthetic Assessment: A Deep Learning  Approach using Class Activation Map.- RingFIR: A large volume earring dataset for fashion image retrieval.- Feature Selection and Feature Manifold for Age Estimation.- Degraded Document Image Binarization using  Active Contour Modell£}
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