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LAST CALL for Papers - ICME Workshop on Broadcast and User-generated Content Recognition and Analysis (BRUREC)
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.
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*************** LAST CALL FOR PAPERS ***************
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*** 1st IEEE International Workshop on Broadcast and User-generated
Content Recognition and Analysis (BRUREC) at ICME 2013***
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***** July 15-19, 2013 • Fairmont Hotel, San Jose, USA |
http://www.BRUREC.org *****
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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.
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***** Topics include but are not limited to: *****
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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)
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********** Important Dates **********
----------------------------------------------------------
-Paper Submission: March 7, 2013
-Notification of Acceptance: April 15, 2013
-Camera-Ready Paper Due: April 30, 2013
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********** Organizers **********
----------------------------------------------------------
Jinyu Han
Gracenote, Inc.
jhan@xxxxxxxxxxxxx
Gerald Friedland
ICSI, UC Berkeley
fractor@xxxxxxxxxxxxxxxxx
Peter Dunker
Gracenote, Inc.
pdunker@xxxxxxxxxxxxx
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********** Technical Program Committee **********
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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)