Re: LAST CALL for Papers - ICME Workshop on Broadcast and User-generated Content Recognition and Analysis (BRUREC) (jinyu han )


Subject: Re: LAST CALL for Papers - ICME Workshop on Broadcast and User-generated Content Recognition and Analysis (BRUREC)
From:    jinyu han  <jinyuhan2008@xxxxxxxx>
Date:    Mon, 11 Mar 2013 09:35:27 -0700
List-Archive:<http://lists.mcgill.ca/scripts/wa.exe?LIST=AUDITORY>

Dear all, The deadline for ICME workshop on Broadcast and User-generated Content Recognition and Analysis is extended to March 14th. You can submit and revise your paper until then. Please forgive any cross-listings. Best regards, BRUREC organizers. On Fri, Mar 1, 2013 at 11:22 PM, jinyu han <jinyuhan2008@xxxxxxxx> wrote: > Dear all, > > This is just a reminder that the deadline for ICME BRUREC is one week > from now. If you work on related research topics and missed the ICME > regular paper deadline, please consider submitting your work to the > following workshop. The page limite is the same as the ICME regular > paper (6 pages). Accepted papers will be included in the conference > proceeding and published by IEEE Xplore. > > Best regards, > BRUREC organizers > > On Fri, Feb 22, 2013 at 9:51 PM, jinyu han <jinyuhan2008@xxxxxxxx> wrote: >> Dear list subscriber, >> >> Please help us circulate this CfPs widely and forgive any cross-postings. >> >> The deadline for BRUREC(March 7th) is approaching. Short (up to 4 >> pages) and long papers (up to 6 pages) are both welcome. All the >> accepted papers will be included in the conference proceeding and >> published by IEEE. The online submission is open: >> https://cmt.research.microsoft.com/ICMEW2013. To make sure your paper >> is submitted to BRUREC for review, please select the workshop track >> '1st IEEE International Workshop on Broadcast and User-Generated >> Content Recognition and Analysis (BRUREC)' when creating a new >> submission. >> >> >> ---------------------------------------------------------------------------------------------- >> *************** LAST CALL FOR PAPERS *************** >> ---------------------------------------------------------------------------------------------- >> >> ------------------------------------------------------------------------------------------------------------------------------ >> *** 1st IEEE International Workshop on Broadcast and User-generated >> Content Recognition and Analysis (BRUREC) at ICME 2013*** >> ------------------------------------------------------------------------------------------------------------------------------ >> ***** July 15-19, 2013 Fairmont Hotel, San Jose, USA | >> http://www.BRUREC.org ***** >> ------------------------------------------------------------------------------------------------------------------------------ >> >> In the past decade, we have seen great advancement in the area of >> visual and acoustic content recognition and analysis. Audio >> fingerprinting, for example, has led to many successful commercial >> applications and fundamentally changed the way people listen to, share >> and store music. In the meanwhile, research and development in visual >> content identification has reached a watershed, and large-scale >> commercial applications have started to emerge. Automated Content >> Recognition (ACR) applications have found their way into consumer >> applications. In the meanwhile, major Hollywood movie studios and TV >> networks have adapted ACR to track and manage their content at large >> scale. While broadcast quality video and audio analysis is already at >> an advanced stage, consumer-produced content analysis is not. Great >> potential exists on the media connectivity between broadcast media and >> user-generated content. Therefore, in the last few years, >> user-generated content has attracted increasing attention from both >> academia and industry. >> >> This workshop aims to extend the ICME conference by focusing on >> algorithms, systems, applications, and standards for content >> recognition and analysis that can be applied across video and audio >> domains. BRUREC will cover all aspects on multimedia data generated by >> broadcast media such as TV and Radio as well as user-generated content >> such as Youtube and Vimeo. The goal of the workshop is to bring >> together researchers and practitioners in both industry and academia >> in the scientific community of content recognition and analysis across >> video, audio and multimedia domains to discuss the latest advance, >> challenges and unaddressed problems as well as exchange views, ideas >> in related technologies and applications, in which we attempt to >> advance the State of the Art of Broadcast and User-generated Content >> Recognition and Analysis. >> >> --------------------------------------------------------------------- >> ***** Topics include but are not limited to: ***** >> --------------------------------------------------------------------- >> Content recognition and analysis algorithms and techniques: >> >> - Video and audio fingerprinting for content identification >> - Segmentation and classification of audio and visual content >> - Image classification and recognition >> - Features and descriptors for video and audio content >> - Audio and visual content clustering >> - Large database indexing, matching, and search >> - Machine learning for content classification >> - Evaluation of content-based identification and classification >> >> Content identification systems and applications: >> - Automated Content Recognition (ACR) >> - TV-centric content analysis and recognition >> - Emerging standards related to visual and audio content identification >> - Automatic content recognition from TV or Radio >> - Implementation of content recognition systems and services >> - Content identification in mobile devices >> - Other content recognition based applications (e.g., recommendation >> and ad targeting) >> >> ---------------------------------------------------------- >> ********** Important Dates ********** >> ---------------------------------------------------------- >> -Paper Submission: March 7, 2013 >> -Notification of Acceptance: April 15, 2013 >> -Camera-Ready Paper Due: April 30, 2013 >> >> ---------------------------------------------------------- >> ********** Organizers ********** >> ---------------------------------------------------------- >> >> Jinyu Han >> Gracenote, Inc. >> jhan@xxxxxxxx >> >> Gerald Friedland >> ICSI, UC Berkeley >> fractor@xxxxxxxx >> >> Peter Dunker >> Gracenote, Inc. >> pdunker@xxxxxxxx >> >> ------------------------------------------------------------------------ >> ********** Technical Program Committee ********** >> ------------------------------------------------------------------------ >> >> Ching-Wei Chen (Gracenote, USA) >> Jingdong Chen (Northwestern Polytechnical University, China) >> Ngai-Man Cheung (Singapore University of Technology and Design, Singapore) >> Oscar Celma (Gracenote, USA) >> Trista Chen (Cognitive Networks, USA) >> Roger Dannenberg (Carnegie Mellon University, USA) >> Lixin Duan (SAP Research, Singapore) >> Yuan Dong (Orange Labs, France Telecom China) >> Zhiyao Duan (Northwestern University, USA) >> Dan Ellis (Columbia University, USA) >> Matthias Gruhne (Bach Technologies, Germany) >> Peter Grosche (Huawei European Research Center, Germany) >> Congcong Li (Google, USA) >> Lie Lu (Dolby Labs, China) >> Xiaofan Lin (A9.com, USA) >> Gautham Mysore (Adobe, USA) >> Bryan Pardo (Northwestern University, USA) >> Regu Radhakrishnan (Dolby Labs, USA) >> Paris Smaragdis (University of Illinois at Urbana-Champaign, USA) >> George Tzanetakis (University of Victoria, Canada) >> Junsong Yuan (Nanyang Technological University, Singapore) >> Honggang Zhang (Beijing University of Posts and Telecommunications, China)


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