********************************************* Call for Papers - ICV 2007 Interactive Computer Vision (ICV 2007) In conjunction with ICCV 2007 Rio de Janeiro, Brazil, October 2007 IMPORTANT DATES June 27, 2007 - Paper submission August 3, 2007 - Notification August 14, 2007 - Camera-ready paper October 15, 2007 - Workshop OVERVIEW Many computer vision applications still require high-level visual knowledge and expertise that can currently be provided only by human input. Indeed, certain task-specific applications, such as image and video manipulation and editing, will continue to require human guidance due to the essential role of the user in the creative process and in identifying which image or video components are of interest. Consequently, in addition to pursuing fully autonomous methods, there has also been significant interest in and development of useful interactive computer vision tools that effectively utilize user input to accomplish difficult vision tasks. CALL FOR PAPERS This workshop seeks to present and highlight current computer vision techniques that involve human interaction as an integral part of the vision algorithm. The implication of interactive computer vision is that the vision process accepts, and often requires, human guidance to accomplish the task and that the vision algorithm supplies feedback to user input in a timely (i.e., interactive) manner. Further, this workshop encourages work where human input is used not only to initialize (or re-initialize) the vision algorithm, but also to guide the algorithm while in process and/or to select among several possible results. This workshop also encourages submissions that evaluate and compare interactive vision systems. Papers are solicited in all areas related to interactive (human-assisted) computer vision, including but not limited to: * Image and video editing and manipulation: - Object selection, transfer, or cloning - Matting - Recolorization - Relighting - Inpainting - Recognition-based (or object sensitive) editing or manipulation - Exaggeration (motion, object, etc.) * Segmentation * Geometric (3-D or 2 1/2-D) reconstruction * Material editing, manipulation, or transfer * Photo and video summarization, understanding, and browsing - Recognizing people in large photo/video collections - User-friendly organization and browsing of large collections * Image retrieval * Tracking - Surveillance and security - Vision assisted driving * Medical image/volume segmentation and analysis * Qualitative and quantitative comparison and evaluation of interactive systems PEOPLE Keynote Address: Harry Shum - Microsoft Research Asia Workshop Co-chairs: Eric Mortensen - Oregon State University Carsten Rother - Microsoft Research Cambridge Leo Jia - Chinese University of Hong Kong Committee: Richard Szeliski - Microsoft Research Andrew Blake - Microsoft Research Cambridge Gerard Medioni - Univ. of Southern California Chuck Dyer - Univ. of Wisconsin Andrew Fitzgibbon - Microsoft Research Cambridge Michael Cohen - Microsoft Research Aseem Agarwala - Adobe Systems Yuri Boykov - Univ. of Western Ontario Anat Levin - MIT Philip H. S. Torr - Oxford Brookes University Aaron Hertzmann - Univ. of Toronto James Elder - York Univ. Leo Grady - Siemens Corporate Research Qiong Yang - Microsoft Research Asia Michael S. Brown - Nanyang Technological Univ. Dan Goldman - Univ. of Washington Noah Snavely - Univ. of Washington OTHER Refer to ICV 2007 webpage (http://eecs.oregonstate.edu/wicv2007) for more information and updates. *********************************************