Abstract

Since the late 90s the Content-BasedMultimedia Indexing (CBMI) has become one of themore active research topics, joining efforts in the computer science (e.g., data mining, information retrieval) and signal processing (e.g., digital image and audio analysis) communities. Since the very beginning, the CBMI community has seen the evolution of research both from a methodological point of view and also from an application point of view. The proliferation of machine-learning approaches in supervised and unsupervised frameworks have witnessed to deal with the phenomenon of large scale in multimedia indexing and retrieval tasks. Content description methods have to make a progress in view of new application areas such as medical images and social media retrieval. Information fusion for efficient mining of multimedia content and also the classical task of information abstraction have tremendous opportunities when applied on multimedia data. The evaluation metrics also will have to progress in the nearest future exploiting the insights gained from the user studies in the field. The International Workshop on Content-based Multimedia Indexing has been established as one of the most important forums for the presentation of the newest ideas and original research results in the field. Following the eight successful previous events of CBMI (Toulouse 1999, Brescia 2001, Rennes 2003, Riga 2005, Bordeaux 2007, London 2008, Chania 2009 and Grenoble 2010), the Video Processing and Understanding Lab (VPULab) and the Information Retrieval Group (IRG) at Universidad Autonoma de Madrid organized the CBMI’2011 event in Madrid from 13 to 15 June 2011. Multimed Tools Appl (2013) 62:1–4 DOI 10.1007/s11042-011-0927-6

Talk to us

Join us for a 30 min session where you can share your feedback and ask us any queries you have

Schedule a call

Disclaimer: All third-party content on this website/platform is and will remain the property of their respective owners and is provided on "as is" basis without any warranties, express or implied. Use of third-party content does not indicate any affiliation, sponsorship with or endorsement by them. Any references to third-party content is to identify the corresponding services and shall be considered fair use under The CopyrightLaw.