The Chinese version of the textbook "Practical Image & Video Processing Using MATLAB" (Tsinghua Univ Press) is now available
Thursday, February 27, 2014
Sunday, February 23, 2014
12th International Content Based Multimedia Indexing Workshop - Demo submission
Authors are invited to submit demo papers of 4 pages maximum. All peer-reviewed, accepted and registered papers will be published in the CBMI 2014 workshop proceedings to be indexed and distributed by the IEEE Xplore. The demos will be presented at CBMI in a demo session. The submissions are peer reviewed in single blind process, the language of the workshop is English.
Important dates:
- Demo paper submission deadline: March 7, 2014
- Notification of acceptance: March 30, 2014
- Camera-ready papers due: April 14, 2014
- Author registration: April 14, 2014
- Early registration: May 25, 2014
Chair & Contact
For more information please visit http://cbmi2014.itec.aau.at/ and for additional questions, remarks, or clarifications please contact the demo chair László Czúni (email: czuni AT almos DOT vein DOT hu) or cbmi2014@itec.aau.at
Saturday, February 22, 2014
Monday, February 17, 2014
CBMI 2014 - Full paper submission deadline: February 28, 2014
Following the eleven successful previous events of CBMI (Toulouse 1999, Brescia 2001, Rennes 2003, Riga 2005, Bordeaux 2007, London 2008, Chania 2009, Grenoble 2010, Madrid 2011, Annecy 2012, and Veszprem 2013), the 12th International Content Based Multimedia Indexing Workshop aims to bring together communities involved in all aspects of content-based multimedia indexing, retrieval, browsing and presentation. CBMI 2014 will take place in Klagenfurt, in the very south of Austria from June 18th to June 20th 2014. CBMI 2014 is organized in cooperation with IEEE Circuits and Systems Society and ACM SIG Multimedia. Topics of the workshop include but are not limited to visual indexing, audio and multi-modal indexing, multimedia information retrieval, and multimedia browsing and presentation. Additional special sessions are planned in the fields of endoscopic videos and images and multimedia metadata.
Topics:
Topics of interest, grouped in technical tracks, include, but are not limited to:
Visual Indexing
- Visual indexing (image, video, graphics)
- Visual content extraction
- Identification and tracking of semantic regions
- Identification of semantic events
Audio and Multi-modal Indexing
- Audio indexing (audio, speech, music)
- Audio content extraction
- Multi-modal and cross-modal indexing
- Metadata generation, coding and transformation
- Multimedia information retrieval
Multimedia retrieval (image, audio, video, …)
- Matching and similarity search
- Content-based search
- Multimedia data mining
- Multimedia recommendation
- Large scale multimedia database management
Multimedia Browsing and Presentation
- Summarization, browsing and organization of multimedia content
- Personalization and content adaptation
- User interaction and relevance feedback
- Multimedia interfaces, presentation and visualization tools
Paper submission
Authors are invited to submit full-length and special session papers of 6 pages and short (poster) and demo papers of 4 pages maximum. All peer-reviewed, accepted and registered papers will be published in the CBMI 2014 workshop proceedings to be indexed and distributed by the IEEE Xplore. The submissions are peer reviewed in single blind process, the language of the workshop is English.
Best papers of the conference will be invited to submit extended versions of their contributions to a special issue of Multimedia Tools and Applications journal (MTAP).
Important dates:
- Full paper submission deadline:
February 16, 2014extended to February 28, 2014 - Demo paper submission deadline: March 7, 2014
- Notification of acceptance: March 30, 2014
- Camera-ready papers due: April 14, 2014
- Author registration: April 14, 2014
- Early registration: May 25, 2014
Friday, February 14, 2014
Video Friday: Shadow Hand, Table Tennis Death Match, and Happy Valentine's Day
Today is Valentine's Day in many countries around the world. For Valentine's Day, we're posting robot videos, because we love robots. And we know you love robots too, at least a little bit, or you wouldn't be here, right? RIGHT!
Also, you should all watch WALL-E again, because it's one of the greatest robot love stories ever told. Consider it the final required video for your Video Friday.
To decide the fate of humanity (or, you know, whatever), professional table tennis champion Timo Boll will take on a Kuka KR Agilus robot arm next month:
read more at IEEE Spectrum
Friday, February 7, 2014
GRire New Version 0.06
The GRire library is a light-weight but complete framework for implementing CBIR (Content Based Image Retrieval) methods. It contains various image feature extractors, descriptors, classifiers, databases and other necessary tools. Currently, the main objective of the project is the implementation of BOVW (Bag of Visual Words) methods so, apart from the image analysis tools, it offers methods from the field of IR (Information Retrieval), e.g. weighting models such as SMART and Okapi, adjusted to meet the Image Retrieval perspective.
The purpose of the project is to help developers create and distribute their methods and test the performance of their BOVW systems in actual databases with minimum effort and without having to deal with every aspect of the model.
Changelog:
v0.0.6
* Added file blacklisting functionality (through code only)
* "Thumbs.db" file of Windows is automatically blacklisted (caused exceptions before)
* Minor GUI fixes
* Converted doubles to floats -> Half disk size required ** NOT BACKWARD COMPATIBLE **
* Asynchronous loading of data in GUI
* Option for multithreaded operations
* Cache options available (via code only, not GUI yet)
* Fixed "TREC file remaining open" bug
* Minor GUI fixes
Monday, February 3, 2014
OpenCV Performance Measurements on Mobile Devices
Marco A. Hudelist, Claudiu Cobârzan and Klaus Schoeffmann - ICMR 2014
Mobile devices like smartphones and tablets are becoming increasingly capable in terms of processing power. Although they are already used in computer vision, no comparable measurement experiments of the popular OpenCV framework have been made yet. We try to ll this gap by evaluating the performance of a set of typical OpenCV operations, on mobile devices like the iPad Air and iPhone 5S. We compare those results with the performance of a consumer
grade laptop PC (MacBook Pro). Our tests span from simple image manipulation methods to keypoint detection and descriptor extraction as well as descriptor matching. Results show that the top performing device can match the performance of the PC up to 80 percent in specific operations.
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