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Monday, March 14, 2011

New Version of img(Rummager)

rummager
Change log 2011-03-15 1.0.4090
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img(retrieval) Tab
1. SURF descriptor is now supported in img(Rummager). The implementation was based on EMGU CV cross platform .Net wrapper.
2. TD-TREE for local descriptor matching
3. Visual words descriptor using SURF descriptor
4. Generate custom visual dictionaries
5. New fusion methods
  • Nanson Rule
  • Borda Count Min
  • Borda Count MAX
  • Fuzzy Ruled Based Fusion    *
  • Borda Pessimism  **
  • Borda Optimism    **
  • Borda Neutral        **
6.Generate Video Summaries    ***
7. Batch mode is up to 10 times faster
8. Fixed several bugs
9. Save batch mode results in TREC format - and use TRECFiles Evaluator to evaluate the results
10. Relevance Feedback is now working again
11. img(Finder) is now working again
* A novel, simple, and efficient method for rank-based late fusion of retrieval result-lists. The approach taken is rule-based, employs a fuzzy system, and does not require training data.
** M. Zarghami. Soft computing of the borda count by fuzzy linguistic quantifiers. Appl. Soft Comput., 11(1):1067–1073, 2011.
*** V. S. Kalogeiton, D. P. Papadopoulos, S. A. Chatzichristofis and Y. S. Boutalis, “A NOVEL VIDEO SUMMARIZATION METHOD BASED ON COMPACT COMPOSITE DESCRIPTORS AND FUZZY CLASSIFIER”, «1st International Conference for Undergraduate and Postgraduate Students in Computer Engineering, Informatics, related Technologies and Applications», pp. 237-246, October 14 to 15, 2010, Patra, Greece.
Coming Soon:Sift Descriptor
Sift visual words
TOP-SURF descriptor
Read More

Saturday, March 12, 2011

Predicting Future Appearance: New Computer-Based Technique Ages Photographic Images of People's Faces

ScienceDaily (Mar. 11, 2011) — A Concordia graduate student has designed a promising computer program that could serve as a new tool in missing-child investigations and matters of national security. Khoa Luu has developed a more effective computer-based technique to age photographic images of people's faces -- an advance that could help to identify missing kids and criminals on the lam.

"Research into computer-based age estimation and face aging is a relatively young field," says Luu, a PhD candidate from Concordia's Department of Computer Science and Software Engineering whose master's thesis explores new and highly effective ways to estimate age and predict future appearance. His work is being supervised by professors Tien Dai Bui and Ching Suen.

Best recorded technique

"We pioneered a novel technique that combines two previous approaches, known as active appearance models (AAMs) and support vector regression (SVR)," says Luu. "This combination dramatically improves the accuracy of age-estimation. In tests, our method achieved the promising results of any published approach."

Most face-aged images are currently rendered by forensic artists. Although these artists are trained in the anatomy and geometry of faces, they rely on art rather than science. As a result, predicted faces drawn by artists can differ widely.

Face changes at different stages

"Our approach to computerized face aging relies on combining existing techniques," says Luu. "The human face changes in different ways at different stages of life. During the growth and development stage, the physical structure of the face changes, becoming longer and wider; in the adult aging phase, the primary changes to the face are in soft tissue. Wrinkles and lines form, and muscles begin to lose their tone."

All this information has to be incorporated into the computer algorithm. Since there are two periods with fundamentally different aging mechanisms, Luu had to construct two different 'aging functions' for this project.

To develop his face aging technique, Luu first used a combination of AAMs and SVR methods to interpret faces and "teach" the computer aging rules. Then, he input information from a database of facial characteristics of siblings and parents taken over an extended period. Using this data, the computer then predicts an individual's facial appearance at a future period.

"Our research has applications in a whole range of areas," says Luu. "People in national security, law enforcement, tobacco control and even in the cosmetic industry can all benefit from this technology."

This study was supported by the Natural Sciences and Engineering Research Council of Canada and the Vietnamese Ministry of Education and Training.

http://www.sciencedaily.com/releases/2011/03/110311122039.htm

Very special thanks to G. Sirakoulis

Friday, March 4, 2011

Call for S3MR 2011: Summer School on Social Media Retrieval

The 2nd Summer School on Social Media Retrieval (http://www.s3mr.eu/) will be held during June 26 – 01 July, 2011 in Antalya, Turkey. The event is co-organized by the EU PetaMedia Network of Excellence and EIT ICT LABS.

APPLICATION DEADLINE: March 22, 2011.

Multimedia content has become ubiquitous on the web, creating new challenges for indexing, access, search and retrieval. At the same time, much of this content is made available on content sharing websites such as YouTube or Flickr, or shared on social networks like Facebook. In such environments, the content is usually accompanied with metadata, tags, ratings, comments, information about the uploaders and their social network, etc. Analysis of these "social media" shows a great potential in improving the performance of traditional multimedia analysis, indexing and retrieval approaches by bridging the semantic gap between the "objective" multimedia content analysis and "subjective" users' needs and impressions. The integration of these aspects however is non-trivial and has created a vibrant, interdisciplinary field of research.

Based on the great success of its previous edition in Interlaken, Switzerland (http://www.s3mr.eu/2010/), the 2nd Summer School on Social Media Retrieval (S3MR) aims at bringing together young researchers from neighboring disciplines, offering

(1) Lectures delivered by experts from academia and industry providing a clear and in-depth summary of state-of-the-art research in social media retrieval,

(2) Collaborative projects in small groups providing hands-on experience on integrative work on selected problems from the field.

Scope:

* Social data analysis

* Multimedia content analysis

* Automatic multimedia annotation/tagging

* Multimedia indexing/search/retrieval

* Implicit media tagging

* Collaborative tagging

We are offering a limited number of grants, covering complete summer school costs as well as accommodation in the 5 star summer school venue on a full board basis.

For more information and subscription, please visit our webpage:

http://www.s3mr.eu/

SIGMM Award for Outstanding PhD Thesis in Multimedia Computing, Communications and Applications

Award Description

This award will be presented every year to a researcher whose PhD thesis has made contributions and has the potential of very high impact in multimedia computing, communication and applications. The goal will be to evaluate contributions towards advances in multimedia including multimedia processing, multimedia systems, multimedia network protocols and services, multimedia applications and interfaces. The award will recognize members of the SIGMM community and their research contributions in their PhD theses as well as the potential of impact of their PhD theses in multimedia area.

The selection committee will focus on candidates’ contributions as judged by innovative ideas and potential impact resulting from their PhD work. The award includes a $500 honorarium, an award certificate of recognition, and an invitation for the recipient to receive the award at a current year’s SIGMM-sponsored conference, the ACM International Conference on Multimedia (ACM Multimedia). A public citation for the award will be placed on the SIGMM website, in the SIGMM Records e-newletter as well as in the ACM e-newsletter.

 

Funding

The award honorarium, the award plaque of recognition and travel expenses to the ACM International Conference on Multimedia will be fully sponsored by the SIGMM budget.

Nomination Applications

Nominations will be solicited by March 30th, 2011 deadline, with decision made by July 30, in time to allow the above recognition and award presentation at ACM Multimedia in that Fall (October/November). The PhD thesis to be nominated for the award must be deposited at the nominee’s Academic Institution between January and December of the previous year of nomination. Nominations for the award must include:

  1. A statement summarizing the candidate’s PhD thesis contributions and potential impact, and justification of the nomination (two pages maximum);
  2. PhD thesis (upload at: http://sigmm.utdallas.edu:8080/drupal/) (open early March 2011);
  3. Curriculum Vitae of the nominee;
  4. Three endorsement letters supporting the nomination including the significant PhD thesis contributions of the candidate. Each endorsement should be no longer than 500 words with clear specification of nominee PhD thesis contributions and potential impact on the multimedia field;
  5. A concise statement (one sentence) of the PhD thesis contribution for which the award is being given. This statement will appear on the award certificate and on the website.

The PhD thesis should be uploaded to http://sigmm.utdallas.edu:8080/drupal/. You will receive a Paper ID after the submission. The other materials should be emailed to the committee chair with the title "[YourPaperID] PhD Thesis Award Submission".

The nomination rules are:

  1. The nominee can be any member of the scientific community.
  2. The nominator must be a SIGMM member.
  3. No self-nomination is allowed.

The submission process of nominations will be preceded by the call for nominations. The call of nominations will be widely publicized by the SIGMM awards committee and by the SIGMM Executive Board at the different SIGMM venues, such as during the SIGMM premier ACM Multimedia conference (at the SIGMM Business Meeting), on the SIGMM web site, via SIGMM mailing list, and via SIGMM e-newsletter between September and December of the previous year.

http://sigmm.utdallas.edu/SIGMM%20Awards/thesisaward

Monday, February 28, 2011

Cancer Diagnosis by Smart Phone.

Reported by Jocelyn Kaiser, in Science, on 23 February 2011

Want to know whether you have cancer? There may soon be an app for that. Cancer researchers have come up with a small device that—with the aid of a smart phone—could allow physicians to find out within 60 minutes whether a suspicious lump in a patient is cancerous or benign.

Instead of immediately cutting out masses that they suspect are tumors, oncologists often use a thick needle to remove a few cells from a lump for an analysis at a pathology lab. But the tests used there, such as examining the shape of cells and staining for various proteins, are sometimes inconclusive. The lab tests also take several days.

As an alternative, physician-scientist Ralph Weissleder’s team at Massachusetts General Hospital (MGH) in Boston developed a miniature version of a nuclear magnetic resonance (NMR) machine—the workhorse tool that allows researchers to identify chemical compounds by the way their nuclei react in magnetic fields. The researchers also found a way to attach magnetic nanoparticles to proteins so that the machine can pick these specific proteins out from a gemisch of chemicals, like those found in a tumor cell sample. A standard chemistry lab’s NMR machine approaches the size of a file cabinet, but the new device is only about as big as a coffee cup.

To see how this might be utilized in the cancer clinic, the MGH researchers used the standard needle procedure to collect suspicious cells from patients’ abdomens. They then labeled the cells with various magnetic nanoparticles designed to attach to known cancer-associated proteins and injected the cells into their miniature NMR machine. The device, whose data can be read with a smart phone application instead of a computer, detected levels of nine protein markers for cancer cells.

By combining results for four of these proteins, the MGH team accurately diagnosed biopsies for 48 of 50 patients in less than an hour per patient. The micro-NMR diagnosis was correct 100% of the time in another set of 20 patients, the MGH team reports today inScience Translational Medicine. By contrast, standard pathology tests on similar samples were correct only 74% to 84% of the time.

Weissleder hopes the device would allow a doctor to test a needle biopsy sample within minutes of collecting it and tell the patient the results as soon as he or she awakes from the procedure. Right now, patients come in for a biopsy, go home, and wait several days for the results. “Our patients hate that week of not knowing if they have cancer,” he says. The strategy should also cut down on repeat biopsies, which typically cost thousands of dollars, he says.

Eventually, the researchers hope to use their mini-NMR device to track the course of cancer and determine whether patients are responding to drugs by detecting levels of specific proteins in blood samples.

Tumor immunologist John Greenman of the University of Hull in the United Kingdom, who also works on so-called lab-on-a-chip devices, calls the study “extremely interesting” as an early example of this technology. What’s key, he says, is that the MGH group has compared its test with standard tests, which “is essential to gain the support of the medical community.” Such devices might have applications far beyond cancer, such as monitoring the environment and detecting biological weapons, he says.

Article from: http://gsirak.ee.duth.gr/index.php/archives/623

EMC-11

The 6th International Conference on Embedded and Multimedia Computing (EMC-11), technically co-sponsored by FTRA, will be held in Enshi, China on August 11-13, 2011.
EMC-11 will be the most comprehensive conference focused on the various aspects of advances in Embedded and Multimedia (EM) Computing.
EMC-11 will provide an opportunity for academic and industry professionals to discuss the latest issues and progress in the area of EM. In addition, the conference will publish high quality papers which are closely related to the various theories and practical applications in EM.

In addition, the conference will publish high quality papers which are closely related to the various theories and practical applications in human-centric computing. Furthermore, we expect that the conference and its publications will be a trigger for further related research and technology improvements in this important subject.

The EMC-11 is the next event, in a series of highly successful International Conference on Embedded and Multimedia Computing, previously held as EMC-10 (Cebu, Philippines, Aug. 2010), EM-Com 2009 (Korea, Dec. 2009), UMC-08 (Australia, Oct. 2008), ESO-08(China, Dec. 2008), UMS-08 (Korea, April, 2008), UMS-07(Singapore, Jan. 2007), ESO-07(Taiwan, Dec. 2007), ESO-06(Korea, Aug. 2006).
Furthermore, we expect that the conference and its publications will be a trigger for further related research and technology improvements in this important subject. Each paper will be reviewed by at least three reviewers. The conference proceedings will be published by IEEE Press (IEEE eXpress Conference Publishing group) and all papers of the proceedings will be included in the IEEE Xplorer.

Special Issues (more will be added)

- International Journal of Information Technology, Communications and Convergence (IJITCC) - Inderscience
- Journal of Convergence (JoC) - FTRA Publishing
- Journal of Information Processing Systems (JIPS) – KIPS

http://grid.hust.edu.cn/EMC2011/