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CALL FOR PAPERS
Workshop on Analysis and Evaluation of Large-Scale Multimedia Collections
A one day workshop to be held in conjunction with the 20th
International Conference on Pattern Recognition (ICPR 2010)
Istanbul, Turkey
August 22, 2010
Recent years have witnessed an explosive growth of multimedia content
driven by the wide availability of massive storage devices,
high-resolution video cameras and fast networks. Stimulated by recent
progress in scalable machine learning, feature indexing and
multi-modal analysis techniques, researchers are becoming increasingly
interested in exploring challenges and new opportunities for
developing much larger scale approaches for multimedia retrieval and
mining. Many of these computationally-intensive ideas are now becoming
practical because of the broader availability of high-speed clusters
and the advent of cloud computing.

This workshop aims to bring together researchers and industrial
 practitioners interested in large-scale multimedia retrieval and
 mining. The workshop will provide a venue for the participants to
 explore a variety of aspects and applications on how advanced
 multimedia analysis techniques can be leveraged to address the
 challenges in large-scale data collections. Pivotal to many tasks is
 the availability of a sufficiently large dataset and its
 corresponding ground truth. Currently available datasets for
 multimedia research are either too small such as the Corel or Pascal
 datasets, too specific like the TRECVID dataset, or without ground
 truth, such as the several recent efforts by MIT and MSRA that
 gathered millions of web images for testing. While it is relatively
 easy to crawl and store a huge amount of data, the creation of
 ground-truth necessary to systematically train, test, evaluate and
 compare the performance of various algorithms and systems is a major
 problem. For thi!  s reason, more and more research groups are
 individually putting efforts into the creation of such corpus in
 order to carry out research on Web-scale dataset. The workshop will
 provide a forum to consolidate key factors related to research on
 very large scale multimedia dataset such as the construction of
 datasets, creation of ground truth, sharing and extension of such
 resources in terms of ground truth, features, algorithms and tools,
 etc.
All papers should address important issues in large-scale multimedia
analysis, and demonstrate approaches that can scale to sufficiently
large multimedia collections (e.g., hundreds of thousands of images,
or hundreds of hours of video or audio content).
The list of possible topics includes:
    * Indexing and retrieval for large multimedia collections (including images, video, audio and other multi-modal data)
    * Large-scale copy detection and near-duplicate detection
    * Video event and temporal analysis over large-scale multimedia sources
    * Web-scale social-network and content-network analysis
    * Machine tagging, semantic annotation, object recognition and ontology management on massive multimedia collections
    * Collaborative image and video annotation for distributed users
    * Interfaces for exploring, browsing and visualizing large multimedia collections
    * Scalable and distributed machine learning and data mining methods for multimedia 
    * Scalable and distributed systems for multimedia content analysis
    * Construction and evaluation of large-scale multimedia collections

Submission Information
Submit a 4 page extended abstract in English, in PDF, by email to alex
AT cs DOT cmu DOT edu by April 1, 2010. The extended abstracts (PDF)
should be anonymous. Include in your email the name(s) of the
author(s), institutional affiliation, complete mailing address,
international phone and fax numbers. The papers presented at the
workshop will be published in the workshop notes, for distribution to
the participants and linked to the workshop webpage (http://LSMM2010.org) after the
workshop.
Important Dates
Submission Deadline: April 1, 2010
Acceptance Notification: May 1, 2010
Revised Abstract Deadline: June 1, 2010
Registration Information
On-line registration of workshops will be available via the ICPR 2010
web page. It is not necessary to register for the full conference to
attend the workshop.

Organizers
Alexander Hauptmann
Carnegie Mellon University, USA
E-mail: alex AT cs DOT cmu DOT edu
Rong Yan
Facebook Inc, USA
E-mail address: yanrong AT gmail DOT com
Qi Tian
University of Texas at San Antonio,USA
Email: qitian AT cs DOT utsa DOT edu
Rahul Sukthankar
Intel Labs and Carnegie Mellon University, USA
Email: rahuls AT cs DOT cmu DOT edu