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Efficient Predictive Algorithms for Image Compression

  • Luís Filipe Rosário Lucas
  • Eduardo Antônio Barros da Silva
  • Sérgio Manuel Maciel de Faria
  • Nuno Miguel Morais Rodrigues
  • Carla Liberal Pagliari

Table of contents

  1. Front Matter
    Pages i-xix
  2. Luís Filipe Rosário Lucas, Eduardo Antônio Barros da Silva, Sérgio Manuel Maciel de Faria, Nuno Miguel Morais Rodrigues, Carla Liberal Pagliari
    Pages 1-6
  3. Luís Filipe Rosário Lucas, Eduardo Antônio Barros da Silva, Sérgio Manuel Maciel de Faria, Nuno Miguel Morais Rodrigues, Carla Liberal Pagliari
    Pages 7-33
  4. Luís Filipe Rosário Lucas, Eduardo Antônio Barros da Silva, Sérgio Manuel Maciel de Faria, Nuno Miguel Morais Rodrigues, Carla Liberal Pagliari
    Pages 35-64
  5. Luís Filipe Rosário Lucas, Eduardo Antônio Barros da Silva, Sérgio Manuel Maciel de Faria, Nuno Miguel Morais Rodrigues, Carla Liberal Pagliari
    Pages 65-95
  6. Luís Filipe Rosário Lucas, Eduardo Antônio Barros da Silva, Sérgio Manuel Maciel de Faria, Nuno Miguel Morais Rodrigues, Carla Liberal Pagliari
    Pages 97-115
  7. Luís Filipe Rosário Lucas, Eduardo Antônio Barros da Silva, Sérgio Manuel Maciel de Faria, Nuno Miguel Morais Rodrigues, Carla Liberal Pagliari
    Pages 117-143
  8. Luís Filipe Rosário Lucas, Eduardo Antônio Barros da Silva, Sérgio Manuel Maciel de Faria, Nuno Miguel Morais Rodrigues, Carla Liberal Pagliari
    Pages 145-148
  9. Back Matter
    Pages 149-169

About this book

Introduction

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 new predictive algorithm for the compression of depth maps, which combines intra-directional prediction, with flexible block partitioning and linear residue fitting. New approaches are described for the compression of Light Field and still images, which enforce sparsity constraints on linear models. The Locally Linear Embedding-based prediction method is investigated for compression of Light Field images based on the HEVC technology. A new linear prediction method using sparse constraints is also described, enabling improved coding performance of the HEVC standard, particularly for images with complex textures based on repeated structures. Finally, the authors present a new, generalized intra-prediction framework for the HEVC standard, which unifies the directional prediction methods used in the current video compression standards, with linear prediction methods using sparse constraints. Experimental results for the compression of natural images are provided, demonstrating the advantage of the unified prediction framework over the traditional directional prediction modes used in HEVC standard.

  • Presents a state-of-the-art review of existing prediction technologies for compression of both 2D and 3D multimedia content;
  • Discusses the most recent advances beyond the current, standardized technologies for image and video compression, such as using the HEVC standard in the context of natural images, 3D and Light Field content;
  • Includes new prediction methods based on alternative techniques and concepts, including flexible block partitioning, linear prediction, sparse representation.

Keywords

High Efficiency Video Coding Next-Generation Video Coding Image compression standards Video compression standards 3D Video 3D-HEVC

Authors and affiliations

  • Luís Filipe Rosário Lucas
    • 1
  • Eduardo Antônio Barros da Silva
    • 2
  • Sérgio Manuel Maciel de Faria
    • 3
  • Nuno Miguel Morais Rodrigues
    • 4
  • Carla Liberal Pagliari
    • 5
  1. 1.Instituto de TelecomunicaçõesESTG – Instituto Politécnico de LeiriaLeiriaPortugal
  2. 2.Programa de Engenharia ElétricaUniversidade Federal do Rio de JaneiroRio de JaneiroBrazil
  3. 3.Instituto de TelecomunicaçõesESTG – Instituto Politécnico de LeiriaLeiriaPortugal
  4. 4.Instituto de TelecomunicaçõesESTG – Instituto Politécnico de LeiriaLeiriaPortugal
  5. 5.Departamento de Engenharia Elétrica (SE/3)Instituto Militar de EngenhariaUrca - Rio de JaneiroBrazil

Bibliographic information

  • DOI https://doi.org/10.1007/978-3-319-51180-1
  • Copyright Information Springer International Publishing Switzerland 2017
  • Publisher Name Springer, Cham
  • eBook Packages Engineering
  • Print ISBN 978-3-319-51179-5
  • Online ISBN 978-3-319-51180-1
  • Buy this book on publisher's site