Use of context in vision processing: an introduction to the UCVP 2009 Workshop

Hamid Aghajan, Ralph Braspenning, Yuri Ivanov, Louis-Philippe Morency, Maja Pantic, Anton Nijholt, Ming-Hsuan Yang

    Research output: Chapter in Book/Report/Conference proceedingConference contributionAcademic

    2 Citations (Scopus)


    Recent efforts in defining ambient intelligence applications based on user-centric concepts, the advent of technology in different sensing modalities as well as the expanding interest in multimodal information fusion and situation-aware and dynamic vision processing algorithms have created a common motivation across different research disciplines to utilize context as a key enabler of application-oriented vision systems design. Improved robustness, efficient use of sensing and computing resources, dynamic task assignment to different operating modules as well as adaptation to event and user behavior models are among the benefits a vision processing system can gain through the utilization of contextual information. The Workshop on Use of Context in Vision Processing (UCVP) aims to address the opportunities in incorporating contextual information in algorithm design for single or multi-camera vision systems, as well as systems in which vision is complemented with other sensing modalities, such as audio, motion, proximity, occupancy, and others.
    Original languageEnglish
    Title of host publicationWorkshop on Use of Context in Vision Processing (UCVP 2009)
    Subtitle of host publicationin conjunction with Eleventh International Conference on Multimodal Interfaces and Workshop on Machine Learning for Multi-modal Interaction (ICMI-MLMI 2009)
    Place of PublicationNew York, NY
    PublisherAssociation for Computing Machinery (ACM)
    Number of pages3
    ISBN (Print)978-1-60558-691-5
    Publication statusPublished - 5 Nov 2009
    EventWorkshop on Use of Context in Vision Processing, UCVP 2009 - Cambridge, United States
    Duration: 5 Nov 20095 Nov 2009


    ConferenceWorkshop on Use of Context in Vision Processing, UCVP 2009
    Abbreviated titleUCVP
    CountryUnited States


    • METIS-266455
    • image/video content analysis
    • driving context
    • Machine Learning
    • Contextual information
    • IR-70415
    • EWI-17696
    • visual gesture recognition
    • statistical relational models
    • smart homes
    • human- human interaction
    • context-driven event interpretation
    • intelligent headlight control
    • camera sensors
    • Object recognition


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