GrowMeUp

Luxand, Inc. in collaboration with Goldbar Ventures released a new application that helps children produce photos of themselves growing up. The new tool is called GrowMeUp. It’s based on Luxand’s years of experience developing biometric identification and morphing technologies.
You can license the technology used in this application for embedding in your own entertainment applications. Please reply to this email if you’re interested.
About GrowMeUp

Using GrowMeUp could not be made simpler (after all, the target audience is very young). The user will upload a picture containing their face, specify their gender and ethnicity, and choose among the many professions available. GrowMeUp will then automatically identify the face and its features, “grow it up” by applying Luxand’s proprietary aging technologies, and carefully embed the resulting “adult” face into a photo showing a working professional.
Kids will have a wide range of professions to choose from. GrowMeUp contains photos of the following persons: Astronaut, Chef, Doctor, Firefighter, Lawyer, Policeman, Musician, Teacher, Pilot, Soldier, and Model.

The app is available at Apple Store. The online version is also available to users without an iOS device at http://growmeup.com/

ACM International Conference on Multimedia Retrieval

ACM International Conference on Multimedia Retrieval (ICMR) Glasgow, UK, 1st - 4th April 2014 http://www.icmr2014.org/

Important dates

* October 15, 2013 – Special Session Proposals

* November 1, 2013 – Special session Selection

* December 2, 2013 – Paper Submission

* January 15, 2014 – Industrial Exhibits and multimedia Retrieval

The Annual ACM International Conference on Multimedia Retrieval (ICMR) offers a great opportunity for exchanging leading-edge multimedia retrieval ideas among researchers, practitioners and other potential users of multimedia retrieval systems. ICMR 2014 is seeking original high quality submissions addressing innovative research in the broad field of multimedia retrieval. We wish to highlight significant contributions addressing the main problem of search and retrieval but also the related and equally important issues of multimedia content management, user interaction, and community-based management. The conference will be held in Glasgow during 1-5 April 2014.

Topics of interest include, but are not limited to:

* Content- and context-based indexing, search and retrieval of images and video

* Multimedia content search and browsing on the Web

* Advanced descriptors and similarity metrics for audio, image, video and 3D data

* Multimedia content analysis and understanding

* Semantic retrieval of visual content

* Learning and relevance feedback in media retrieval

* Query models, paradigms, and languages for multimedia retrieval

* Multimodal media search

* Human perception based multimedia retrieval

* Studies of information-seeking behavior among image/video users

* Affective/emotional interaction or interfaces for image/video retrieval

* HCI issues in multimedia retrieval

* Evaluation of multimedia retrieval systems

* High performance multimedia indexing algorithms

* Community-based multimedia content management

* Applications of Multimedia Retrieval: Medicine, Multimodal Lifelogs, Satellite Imagery, etc.

* Image/video summarization and visualization

The GRIRE Library - Pack Release: Timers Pack

This pack provides components that measure the time elapsed by other ones for detailed benchmarking. It contains a component of each type that takes as argument another component of the same type and measures the time it needs for each process and other information like average time per image and minimum/maximum times.

It only works with GRire.v.0.0.3 or later because it needs General Maps to store the results.

Download link:
https://sourceforge.net/projects/grire/files/PluginPacks/TimersPack/

Evaluation of Image Browsing Interfaces for Smartphones and Tablets

Abstract

In this work we propose an early prototype of a video browser for mobile devices with touchscreens. We concentrate on utilizing the  thumbs because of the natural posture used with the devices when watching videos in landscape mode. The controls are only displayed when the user touches the screen and automatically rearrange themselves depending on the position of the thumbs. A combination of a radial menu and an extended seeker control with hierarchical browsing and bookmarking features enables the user to navigate quickly through videos.

2013 IEEE International Symposium on Multimedia

Read More

Xirong Li receives SIGMM Best Ph.D. Thesis Award 2013

Article from http://www.ceessnoek.info/

Congratulations to dr. Xirong Li for receiving the SIGMM Award for Outstanding PhD Thesis in Multimedia Computing, Communications and Applications 2013. The committee considered Xirong’s dissertation titled “Content-based visual search learned from social media” as worthy of the award as it substantially extends the boundaries for developing content-based multimedia indexing and retrieval solutions. In particular, it provides fresh new insights into the possibilities for realizing image retrieval solutions in the presence of vast information that can be drawn from the social media.

The committee considered the main innovation of Xirong’s work to be in the development of the theory and algorithms providing answers to the following challenging research questions:
(a) what determines the relevance of a social tag with respect to an image,
(b) how to fuse tag relevance estimators,
(c) which social images are the informative negative examples for concept learning,
(d) how to exploit socially tagged images for visual search and
(e) how to personalize automatic image tagging with respect to a user’s preferences.

The significance of the developed theory and algorithms lies in their power to enable effective and efficient deployment of the information collected from the social media to enhance the datasets that can be used to learn automatic image indexing mechanisms (visual concept detection) and to make this learning more personalized for the user.

Xirong’s thesis is available from the UvA digital academic repository.

Post-Doc position on breast cancer image analysis (Computer Vision)

Location: Spain

Employer: Rovira i Virgili University

The Intelligent Robotics and Computer Vision group at the University Rovira i Virgili, Tarragona, Catalonia (Spain) is looking for candidates to work in a project related to breast cancer image analysis.

The Post-Doc positions are funded by the Government of Catalonia under the next program:

http://www10.gencat.cat/agaur_web/AppJava/english/a_beca.jsp?categoria=postdoctorals&id_beca=19944

Prospective candidates must have obtained a PhD degree on Computer Science (or Computer Engineering) between the 01/01/2007 and 31/12/2011.

Interested candidates please contact to Dr. Domenec Puig domenec.puig@urv.cat