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Visual Quality Evaluation for Images and Videos

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Book cover Multimedia Analysis, Processing and Communications

Part of the book series: Studies in Computational Intelligence ((SCI,volume 346))

Abstract

Information is exploding with technology progress. Compared with text and audio, image and video can represent information more vividly, which makes visual quality one of the most important aspects in determining user experience. A good visual quality evaluation method can assist in monitoring the quality of multimedia services and boosting user experience.

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Authors and Affiliations

  1. The Chinese University of Hong Kong, Hong Kong

    Songnan Li, Lawrence Chun-Man Mak & King Ngi Ngan

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  1. Songnan Li
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  2. Lawrence Chun-Man Mak
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  3. King Ngi Ngan
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Editors and Affiliations

  1. School of Computer Engineering , Nanyang Technological University, 639798, Singapore

    Weisi Lin  & Dacheng Tao  & 

  2. Intelligent Systems Laboratory Systems Research Institute , Polish Academy of Sciences, Poland

    Janusz Kacprzyk

  3. Department of Computing , Hong Kong Polytechnic University, Hung Hom, Hong Kong

    Zhu Li

  4. School of Electronic Engineering and Computer Science, Queen Mary, University of London, London, U.K.

    Ebroul Izquierdo

  5. TCL-Thomson Electronics , Santa Clara, California

    Haohong Wang

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Li, S., Mak, L.CM., Ngan, K.N. (2011). Visual Quality Evaluation for Images and Videos. In: Lin, W., Tao, D., Kacprzyk, J., Li, Z., Izquierdo, E., Wang, H. (eds) Multimedia Analysis, Processing and Communications. Studies in Computational Intelligence, vol 346. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-19551-8_19

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  • DOI: https://doi.org/10.1007/978-3-642-19551-8_19

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