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{ "item_title" : "Algorithms for Efficient and Fast 3d-Hevc Depth Map Encoding", "item_author" : [" Gustavo Sanchez", "Luciano Agostini", "César Marcon "], "item_description" : "This book describes and analyzes in detail the encoding effort and the encoding tool usage applied to 3D-HEVC depth map coding. Based on the analyzed information, the authors introduce efficient algorithms for accelerating the available encoding tools. The contributions discussed in this book include four algorithms for reducing intra-frame encoding effort and three algorithms for reducing inter-frame encoding effort. The presented results demonstrate several levels of encoding effort reduction with different impacts in the encoding efficiency, surpassing state-of-the-art solutions by more than 50% the encoding effort with only 0.3% encoding efficiency loss.", "item_img_path" : "https://covers2.booksamillion.com/covers/bam/3/03/025/929/3030259293_b.jpg", "price_data" : { "retail_price" : "54.99", "online_price" : "54.99", "our_price" : "54.99", "club_price" : "54.99", "savings_pct" : "0", "savings_amt" : "0.00", "club_savings_pct" : "0", "club_savings_amt" : "0.00", "discount_pct" : "10", "store_price" : "" } }
Algorithms for Efficient and Fast 3d-Hevc Depth Map Encoding|Gustavo Sanchez

Algorithms for Efficient and Fast 3d-Hevc Depth Map Encoding

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Overview

This book describes and analyzes in detail the encoding effort and the encoding tool usage applied to 3D-HEVC depth map coding. Based on the analyzed information, the authors introduce efficient algorithms for accelerating the available encoding tools. The contributions discussed in this book include four algorithms for reducing intra-frame encoding effort and three algorithms for reducing inter-frame encoding effort. The presented results demonstrate several levels of encoding effort reduction with different impacts in the encoding efficiency, surpassing state-of-the-art solutions by more than 50% the encoding effort with only 0.3% encoding efficiency loss.

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Details

  • ISBN-13: 9783030259297
  • ISBN-10: 3030259293
  • Publisher: Springer
  • Publish Date: September 2020
  • Dimensions: 9.21 x 6.14 x 0.2 inches
  • Shipping Weight: 0.32 pounds
  • Page Count: 83

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