[Corpora-List] WWW 2015 Workshop: Vision and Language Integration for Big Data (Deadline Extension and Final Call for Papers)

Ivan Vulic ivan.vulic at cs.kuleuven.be
Fri Feb 6 15:39:34 CET 2015


Dear colleagues,

Apologies for cross-posting.

We are delighted to welcome the 1st workshop on vision and language integration for big data (VLIBD 2015), which will be hosted by the 24th World Wide Web Conference (WWW), on May 19th 2015 in Florence, Italy.

This workshop is an inter-disciplinary venue, and its purpose is to bring together researchers from computer vision, Web search and mining, human language technology, computational linguistics, machine learning, reasoning, information retrieval, cognitive science and application communities. The workshop will serve as a strong inter-disciplinary forum which will ignite fertilizing discussions and ideas on how to combine and integrate established techniques from different (but related) fields into new unified modeling approaches, as well as how to approach the problem of big multi-modal data present on the Web from a completely new angle. The initiative on integrating vision and text will organically yield a better understanding of the nature and usability of vast multi-modal data available online.

We solicit papers describing original research combining and integrating language and vision, as well as position papers. Papers should be maximum 6 pages in length including references. In order to encourage the sharing of novel and emerging ideas, we also welcome papers describing new data sets, grand challenges, open problems, benchmarks and work in progress as well as survey papers.

Important dates --- Submission deadline: February 22nd, 2015 Acceptance notification: March 1st, 2015 Camera-ready submission: March 8th, 2015 Workshop date: May 19th, 2015

All deadlines are 23:59 Hawaii standard time (UTC-10).

Submission and reviewing will be online, managed by the EasyChair system. Reviewing will be double-blind, and thus no author information should be included in the papers; self-reference should be avoided as well. Papers should be submitted through EasyChair at: https://easychair.org/conferences/?conf=vlibd2015

Please refer to the workshop details below for more information. All info related to the workshop is also available online: https://sites.google.com/site/vlibdworkshop2015/

Regards, Marie-Francine Moens, Katerina Pastra, Tinne Tuytelaars, and Ivan Vulić

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WWW 2015 Conference, Florence, Italy, May 18-22 2015, http://www.www2015.it/

Workshop: Vision and Language Integration for Big Data https://sites.google.com/site/vlibdworkshop2015/

Organizers: Marie-Francine Moens (KU Leuven, Belgium) Katerina Pastra (CSRI, Greece) Tinne Tuytelaars (KU Leuven, Belgium) Ivan Vulić (KU Leuven, Belgium)

--- CfP --- Content found on the World Wide Web and especially in social media is increasingly composed of a mix of visual, textual and speech data, opening up many opportunities for cross-media search and web mining. This situation demands for solutions for multi-media and cross-media processing of inherently multi-modal data involving the development of technologies that combine insights from text mining, computer vision, search and retrieval and Web data processing. In addition, the processing should be made scalable and adaptable to different domains and data sources, as typically in this context we are dealing with "big data", which is often user-generated and unstructured.

For instance, fragments of natural language, in the form of tags, captions, subtitles, surrounding text or audio, can aid the interpretation of image and video data by adding context or disambiguating visual appearance. In addition, labeled images are essential for training object or activity classifiers. On the other hand, visual data can help resolve challenges in language processing such as disambiguation of person names, places, events, etc. Studying language and vision together can also provide new insight into cognition and universal representations of knowledge and meaning to be used in a Semantic Web context. In addition, multi-modal and cross-modal search and retrieval, which combine visual and textual modalities, become increasingly popular.

The purpose of this workshop is to bring together researchers from computer vision, Web search and mining, human language technology, computational linguistics, machine learning, reasoning, information retrieval, cognitive science and application communities. The workshop will serve as a strong inter-disciplinary forum which will ignite fertilizing discussions and ideas on how to combine and integrate established techniques from different (but related) fields into new unified modeling approaches, as well as how to approach the problem of big multi-modal data present on the Web from a completely new angle. The initiative on integrating vision and text will organically yield a better understanding of the nature and usability of vast multi-modal data available online.

Topics of interest include, but are not limited to (in alphabetical order): - Cross-media behavioral analysis and personalization - Cross-media content analysis (e.g., news, social media) - Cross-media emotion detection and genre classification - Cross-media linking of entities, attributes, objects, events, and actions - Cross-media Web search systems and applications - Cross-media security and privacy - Cross-media summarization - Cross-modal information retrieval - Fusion models for heterogeneous visual and textual data - Image and video labeling and annotation - Image and video retrieval based on multi-modal cues - Models of distributional semantics involving vision and language - Multi-modal processing of social media data - Multi-modal querying and question answering - Multi-modal Web search and mining - Processing of multi-modal user-generated data - Semantic Web for cross-media content management - Scalability of the multi-modal processing and search structures - Text-to-image generation - Web infrastructure for cross-media processing: Data centers, content delivery networks, and cloud computing - Web mining of multimedia data

We solicit papers describing original research combining and integrating language and vision, as well as position papers. Papers should be maximum 6 pages in length including references. In order to encourage the sharing of novel and emerging ideas, we also welcome papers describing new data sets, grand challenges, open problems, benchmarks and work in progress as well as survey papers.

Submission and reviewing will be online, managed by the EasyChair system. Reviewing will be double-blind, and thus no author information should be included in the papers; self-reference should be avoided as well. Papers should be submitted through EasyChair at: https://easychair.org/conferences/?conf=vlibd2015

The only accepted format for all submissions is PDF, and all submissions should adhere to the official ACM SIG proceedings template: http://www.acm.org/sigs/publications/proceedings-templates

Each submission will be reviewed by at least 3 members of the program committee. Each accepted submission will be presented as a talk or a poster (to be decided solely based on the nature of the work).

Accepted papers will appear in the Companion volume to the WWW 2015 proceedings, where no distinction will be made between papers presented orally or as posters. Since all accepted papers for the VLIBD workshop will be included in the Companion volume to the WWW 2015 Proceedings, and will be published by ACM and included in the ACM Digital Library, there is a 6-page limit for all submissions. Furthermore, the WWW 2015 organizers will require at least one registration per paper published in either the main Proceedings or in the Companion volume. At the time of submission of the final camera-ready copy, authors will have to indicate the already registered person for that publication. More on the submission policy and format is available here.

Important dates --- Submission deadline: February 22nd, 2015 Acceptance notification: March 1st, 2015 Camera-ready submission: March 8th, 2015 Workshop date: May 19th, 2015

All deadlines are 23:59 Hawaii standard time (UTC-10).

-- Ivan Vulić, Ph.D. KU Leuven, Department of Computer Science http://people.cs.kuleuven.be/~ivan.vulic/

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