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Video Quality Metrics for Consumer Electronics

This special issue aims at discussing state-of-the-art and novel video processing technologies, theories and methods, and applications of quality metrics in consumer video. It is intended to be a chance for leading researchers and developers from industry and academia to present recent advances on these topics. Our starting point is the International Workshop on Video Processing and Quality Metrics for Consumer Electronics – VPQM which was held for the first time in 2005 in Scottsdale, Arizona. The special issue will be open but not restricted to VPQM participants.

Edited by: Federica Battisti, Marco Carli, Lina Karam and Patrick Le Callet

  1. Research

    No reference quality assessment for MPEG video delivery over IP

    Video delivering over Internet protocol (IP)-based communication networks is widely used in the actual information sharing scenario. As well known, the best-effort Internet architecture cannot guarantee an err...

    Federica Battisti, Marco Carli and Alessandro Neri

    EURASIP Journal on Image and Video Processing 2014 2014:13

    Published on: 25 February 2014

  2. Research

    Subjective assessment of HDTV with superresolution function

    Superresolution (SR) is a means of image enhancement, and some recent high-definition television (HDTV) sets and digital cameras are equipped with it. However, the resolution of such HDTV sets has not been tes...

    Seiichi Gohshi, Takayuki Hiroi and Isao Echizen

    EURASIP Journal on Image and Video Processing 2014 2014:11

    Published on: 21 February 2014

  3. Research

    Quantifying the importance of cyclopean view and binocular rivalry-related features for objective quality assessment of mobile 3D video

    3D video is expected to provide an enhanced user experience by using the impression of depth to bring greater realism to the user. Quality assessment plays an important role in the design and optimization of 3...

    Lina Jin, Atanas Boev, Karen Egiazarian and Atanas Gotchev

    EURASIP Journal on Image and Video Processing 2014 2014:6

    Published on: 21 January 2014

  4. Research

    On required accuracy of mixed noise parameter estimation for image enhancement via denoising

    Characteristics of noise (type, statistics, spatial correlation) are nowadays exploited in many image denoising and enhancement methods. However, these characteristics are often unknown, and they have to be ex...

    Victoriya V Abramova, Sergey K Abramov, Vladimir V Lukin, Karen O Egiazarian and Jaakko T Astola

    EURASIP Journal on Image and Video Processing 2014 2014:3

    Published on: 14 January 2014

  5. Research

    Full-reference video quality metric assisted the development of no-reference bitstream video quality metrics for real-time network monitoring

    High-quality video is being increasingly delivered over Internet Protocol networks, which means that network operators and service providers need methods to measure the quality of experience (QoE) of the video...

    Iñigo Sedano, Kjell Brunnström, Maria Kihl and Andreas Aurelius

    EURASIP Journal on Image and Video Processing 2014 2014:4

    Published on: 14 January 2014

  6. Research

    Stereoscopic 3D video quality assessment based on depth maps and video motion

    In this paper, we propose techniques to assess the objective quality for stereoscopic 3D video content, related to motion and depth map features. An analysis has been carried out in order to understand what ca...

    Juan Pedro López, Juan Antonio Rodrigo, David Jiménez and José Manuel Menéndez

    EURASIP Journal on Image and Video Processing 2013 2013:62

    Published on: 1 December 2013

  7. Research

    Supporting visual quality assessment with machine learning

    Objective metrics for visual quality assessment often base their reliability on the explicit modeling of the highly non-linear behavior of human perception; as a result, they may be complex and computationally...

    Paolo Gastaldo, Rodolfo Zunino and Judith Redi

    EURASIP Journal on Image and Video Processing 2013 2013:54

    Published on: 23 September 2013

  8. Research

    Selecting scenes for 2D and 3D subjective video quality tests

    This paper presents recommended techniques for choosing video sequences for subjective experiments. Subjective video quality assessment is a well-understood field, yet scene selection is often driven by conven...

    Margaret H Pinson, Marcus Barkowsky and Patrick Le Callet

    EURASIP Journal on Image and Video Processing 2013 2013:50

    Published on: 28 August 2013