Golden Retriever Image Retrieval Engine (GRIRE)

The GRire library is an open source, light-weight 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 the BOVW (Bag of Visual Words) approach so, apart from the image analysis tools, to offer 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 to 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. For example, a user who has created his own feature extractor and descriptor can integrate it into the GRire library, create a complete BOVW database and test it using GRire’s weighting and similarity models without having to implement anything else from scratch. So apart from a powerful and fast indexing and retrieving mechanism, GRire uses an extremely easy to use plugin system.

Read more about GRire: http://www.grire.net/

The source code and the compiled jar files of the core and the plugins are available at the Google Code page of GRire.

A list of the available plugin packs along with instructions is here.

For a quick tutorial about using GRire you can see the installation instructions and this example

ONLY FOR CHILDREN

Computer Vision platform using Python.

SimpleCV is an open source framework for building computer vision applications. With it, you get access to several high-powered computer vision libraries such as OpenCV – without having to first learn about bit depths, file formats, color spaces, buffer management, eigenvalues, or matrix versus bitmap storage. This is computer vision made easy.

http://simplecv.org/

Open Source Software Competition

ACM Multimedia 2013
October 21-25, 2013, Barcelona, Catalunya, Spain
http://www.acmmm13.org/
Open Source Software Competition Program
Important Dates
    Submission deadline: May 13, 2013 at 11:59pm PST (UTC-8)
    Notification of acceptance: June 30, 2013
    Camera-ready submission deadline: July 30, 2013
The ACM Multimedia Open Source Software Competition celebrates the invaluable contribution of researchers and software developers who advance the field by providing the community with implementations of codecs, middleware, frameworks, toolkits, libraries, applications, and other multimedia software. This year will be the sixth year in running the competition as part of the ACM Multimedia program.
To qualify, software must be provided with source code and licensed in such a manner that it can be used free of charge in academic and research settings. For the competition, the software will be built from the sources. All source code, license, installation instructions and other documentation must be available on a public web page. Dependencies on non-open source third-party software are discouraged (with the exception of operating systems and commonly found commercial packages available free of charge). To encourage more diverse participation, previous years' non-winning entries are welcome to re-submit for the 2013 competition. Student-led efforts are particularly encouraged.
Authors are highly encouraged to prepare as much documentation as possible, including examples of how the provided software might be used, download statistics or other public usage information, etc. Entries will be peer-reviewed to select entries for inclusion in the conference program as well as an overall winning entry, to be recognized formally at ACM Multimedia 2013.  The criteria for judging all submissions include broad applicability and potential impact, novelty, technical depth, demo suitability, and other miscellaneous factors (e.g., maturity, popularity, student-led, no dependence on closed source, etc.).
Authors of the winning entry, and possibly additional selected entries, will be invited to demonstrate their software as part of the conference program.  In addition, accepted overview papers will be included in the conference proceedings.
Open Source Software Competition Guidelines
Authors interested in submitting an entry to the ACM Multimedia Open Source Software Competition should follow the instructions at http://acmmm13.org/submissions/call-for-the-open-source-software-competition/

Multimedia Grand Challenge Solutions

What problems do Yahoo!, Microsoft, Huawei, Technicolor, NHK and Videolectures see in the future of multimedia? Try to address them by working with some of the largest multimedia collections available, including: hundred’s of thousands of training images per class for classification (Yahoo!), 1,000 video clips of raw broadcast video footage for beauty detection (NHK), 3D data of multi-view video streams, multiple humans and actions (Huawei/3DLife), 10.6 GB of training data for image retrieval (Microsoft), 17 hours of lecture videos and >1000 slides (MediaMixer/VideoLectures.NET) and TV archives (Technicolor).
The Multimedia Grand Challenge is a set of problems and issues from these industry leaders, geared to engage the multimedia research community in solving relevant, interesting  and challenging questions about industry's current and future needs and applications for multimedia.
The Grand Challenge was first presented as part of ACM Multimedia 2009 and has established itself as a prestigious competition in the multimedia community. This year's conference will continue the tradition, with both ongoing and brand new challenges.

The 2013 Multimedia Grand Challenges are:
        * NHK – Where is beauty? Grand Challenge
        * Technicolor - Rich Multimedia Retrieval from Input Videos Grand Challenge
        * Yahoo! – Large-scale Flickr-tag Image Classification Grand Challenge
        * Huawei/3DLife - 3D Human Reconstruction and Action Recognition Grand Challenge
        * MediaMixer/VideoLectures.NET - Semantic VideoLectures.NET Segmentation Service Grand Challenge
        * MSR-Bing Grand Challenge on Image Retrieval
Submissions should:
* Significantly address one of the challenges posted on the Grand Challenge web site.
* Depict working, presentable systems or demos, using the Grand Challenge dataset where provided.
* Describe why the system presents a novel and interesting solution.
The finalists will be selected by a committee consisting of academia and industry representatives, based on novelty, presentation and scientific interest of the approaches and, for the evaluation-based challenges,  on the performance against the task.
Preference is given to results that are reproducible by the research community, e.g. where the data and the source code is made available publicly.
The finalists will be  published in the proceedings and presented in a special event during the MM  2013 conference in  Barcelona. Based on the  presentation, winners  will be selected for Grand  Challenge awards. At  the conference, authors of accepted submissions will introduce the idea to the  audience, give a quick demo, and take difficult questions from the judges. Based on the presentation and the submission, a team of judges will select the top contributors.

DEADLINE: July 1st, 2013.
For more information and submission guidelines visit:
http://acmmm13.org/submissions/call-for-multimedia-grand-challenge-solutions/

Facial expressions changes using different lighting angles, lenses, etc