Improvement and evaluation of visual saliency based on information theory

Anh Cat Le Ngo, Li Minn Ang, Kah Phooi Seng, Guoping Qiu

    Research output: Book chapter/Published conference paperConference paperpeer-review

    3 Citations (Scopus)


    Visual saliency is a well-known image processing technique based on theory about visual attention of human beings. Several proposed computing approaches based on findings in psychological and neurological researches about the part of human brain area in charge of visual attention. Contrast to those methods, in this paper the information theory is recommended as backbone for a new approach of building visual attention computer model, assumed that the uniqueness of a pixel or a group of pixels correlates with saliency. The information saliency is identified in both spatial domain and temporal domain, and eventually those two pieces of information is combined in a mathematical integrated framework naturally. Experiments of the model on intensity, contrast, and especially full motion video show that its performance is comparable to other state-of-art saliency approaches. Though there are still minor flaws in the information based saliency, it is a potential alternative approach for visual attention in video-based applications.

    Original languageEnglish
    Title of host publicationICS 2010 - International Computer Symposium
    Number of pages6
    Publication statusPublished - 01 Dec 2010
    Event2010 International Computer Symposium, ICS 2010 - Tainan, Taiwan, Province of China
    Duration: 16 Dec 201018 Dec 2010


    Conference2010 International Computer Symposium, ICS 2010
    Country/TerritoryTaiwan, Province of China


    Dive into the research topics of 'Improvement and evaluation of visual saliency based on information theory'. Together they form a unique fingerprint.

    Cite this