Conference Information
CBMI 2019: International Workshop on Content-Based Multimedia Indexing
Submission Date:
Notification Date:
Conference Date:
Dublin, Ireland
QUALIS: b3   Viewed: 7364   Tracked: 1   Attend: 1

Conference Location
Call For Papers
Authors are encouraged to submit previously unpublished research papers in the broad field of content-based multimedia indexing and applications. We wish to highlight significant contributions addressing the main problem of search and retrieval but also the related and equally important issues of multimedia content management, user interaction, large-scale search, learning in retrieval, social media indexing and retrieval. Additional special sessions are planned in areas such as deep learning for retrieval, social media retrieval, cultural heritage, surveillance and security.

Authors can submit full length (6 pages - to be presented as oral presentation) or short papers (4 pages - to be presented as posters). Papers can be submitted to the regular paper sessions, demo session, or to one of three special sessions on “Medical Image Mining and Health” (MIME), “Signals And Multimedia” (SAM), and “Multimedia Indexing for Comics” (MIC). Additionally demonstration papers (up to 4 pages) may also be submitted that highlight interesting and novel demos of CBMI-related technologies. The submissions are peer reviewed in a single blind process. The language of the conference is English. The CBMI 2019 conference adheres to the IEEE paper formatting guidelines. When preparing your submission, please follow the IEEE guidelines given by IEEE at the Manuscript Templates for Conference Proceedings.

The CBMI proceedings are traditionally indexed and distributed by IEEE Xplore and ACM DL. In addition, authors of the best papers of the conference will be invited to submit extended versions of their contributions to a special issue of a leading journal in the field.

Topics of interest to the CBMI community include, but are not limited to, the following:

    Audio and visual and multimedia indexing
    Multimodal and cross-modal indexing
    Deep learning for multimedia indexing
    Visual content extraction
    Audio (speech, music, etc) content extraction
    Identification and tracking of semantic regions and events
    Social media analysis
    Metadata generation, coding and transformation
    Multimedia information retrieval (image, audio, video, text)
    Mobile media retrieval
    Event-based media processing and retrieval
    Affective/emotional interaction or interfaces for multimedia retrieval
    Multimedia data mining and analytics
    Multimedia recommendation
    Large scale multimedia database management
    Summarization, browsing and organization of multimedia content
    Personalization and content adaptation
    User interaction and relevance feedback
    Multimedia interfaces, presentation and visualization tools
    Evaluation and benchmarking of multimedia retrieval systems
    Applications of multimedia retrieval, e.g., medicine, lifelogs, satellite imagery, video surveillance
    Cultural heritage applications
Last updated by Dou Sun in 2019-04-07
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