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Lucas, Luis Filipe Rosario; Barros da Silva, Eduardo Antonio; Maciel de Faria, Sergio Manuel; Rodrigues, Nuno Miguel Morais; Pagliari, Carla - Efficient Predictive Algorithms for Image Compression - 9783319511795 - V9783319511795
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Efficient Predictive Algorithms for Image Compression

€ 127.70
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Description for Efficient Predictive Algorithms for Image Compression Hardback. Num Pages: 169 pages, 42 black & white illustrations, 24 colour illustrations, 50 colour tables, biography. BIC Classification: TTBM; UMB; UYQV; UYT. Category: (P) Professional & Vocational. Dimension: 235 x 155 x 13. Weight in Grams: 456.

This book discusses efficient prediction techniques for the current state-of-the-art High Efficiency Video Coding (HEVC) standard, focusing on the compression of a wide range of video signals, such as 3D video, Light Fields and natural images. The authors begin with a review of the state-of-the-art predictive coding methods and compression technologies for both 2D and 3D multimedia contents, which provides a good starting point for new researchers in the field of image and video compression. New prediction techniques that go beyond the standardized compression technologies are then presented and discussed. In the context of 3D video, the authors describe a ... Read more

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Product Details

Format
Hardback
Publication date
2017
Publisher
Springer International Publishing AG Switzerland
Number of pages
169
Condition
New
Number of Pages
169
Place of Publication
Cham, Switzerland
ISBN
9783319511795
SKU
V9783319511795
Shipping Time
Usually ships in 15 to 20 working days
Ref
99-15

About Lucas, Luis Filipe Rosario; Barros da Silva, Eduardo Antonio; Maciel de Faria, Sergio Manuel; Rodrigues, Nuno Miguel Morais; Pagliari, Carla
Luís Filipe Rosário Lucas was born in Portugal in 1988. He received the Engineering and M.Sc. degrees in Electrical Engineering from Escola Superior de Tecnologia e Gestão of Instituto Politécnico de Leiria, Portugal, in 2009 and 2011, respectively, and the Ph.D. degree from the Universidade Federal do Rio de Janeiro, Brazil, in 2016, in collaboration with the Instituto de Telecomunicações, ... Read more

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