ACM SIGMM Interest List


Options: Use Forum View

Use Monospaced Font
Show Text Part by Default
Show All Mail Headers

Message: [<< First] [< Prev] [Next >] [Last >>]
Topic: [<< First] [< Prev] [Next >] [Last >>]
Author: [<< First] [< Prev] [Next >] [Last >>]

Print Reply
Ichiro IDE <[log in to unmask]>
Reply To:
Tue, 8 Sep 2009 18:38:56 +0900
Text/Plain (129 lines)
Dear all,

Please find below the CFP for the WS-LAVD2009 Workshop held in
conjunction with ICCV2009.

                      <<<Call for Participation>>>
 IEEE First Workshop on Emergent Issues in Large Amounts of Visual Data
                             (WS-LAVD 2009)
                      in conjunction with ICCV2009

               October 4, 2009 in Kyoto University, Japan


 9:30 -  9:40	Opening Remarks

 9:40 - 10:55	Session (1) : SEGMENTATION AND CLUSTERING
	* "Applying Incremental Learning to Parallel Image 
	  Segmentation" (C. Charron, Y. Hicks, P. Hall)
	* "BUBL: An Effective Region Labeling Tool Using a Hexagonal
	  Lattice" (C. Galleguillos, P. Faymonville, S. Belongie)
	* "Spectral Camera Clustering" (A. Ladikos, S. Ilic, N. Navab)

10:55 - 11:15	Coffee Break

11:15 - 12:30	Session (2) : MACHINE LEARNING AND NN SEARCH
	* "Discriminative Structured Outputs Prediction Model and Its 
	  Efficient Online Learning Algorithm" (Y. Wu, Z. Yuan, Y. Liu,
	  N. Zheng)
	* "Error-Correcting Semi-Supervised Learning with Mode-Filter
	  on Graphs" (W. Du, K. Urahama)
	* "Approximate Nearest Neighbor Search on HDD" (N. Himei, 
	  T. Wada)

12:30 - 14:00	Lunch Break

14:00 - 15:40	Keynote Session

	* "Recent Advances in Image Representation for Image 
	  Segmentation, Object Class Detection and Image Classification"
	  (Frederic Jurie [University of Caen])

	* "Internet Multimedia: Challenges and Opportunties"
	  (Xian-Sheng Hua [Microsoft Research Asia])

15:40 - 16:00	Coffee Break

16:00 - 17:40	Session (3) : OBJECT RECOGNITION
	* "Better Matching with Fewer Features: The Selection of Useful 
	  Features in Large Database Recognition Problems" (P. Turcot,
	  D. Lowe)
	* "Scaling Object Recognition: Benchmark of Current State of the 
	  Art Techniques" (M. Aly, P. Welinder, M. Munich, P. Perona)
	* "Robust and Efficient Recognition of Low-Quality Images by 
	  Cascaded Recognizers with Massive Local Features" (K. Kise,
	  M. Iwamura, K. Noguchi)
	* "Compressed Representation of Feature Vectors Using a Bloomier
	  Filter and Its Application to Specific Object Recognition"
	  (K. Inoue, K. Kise)

17:40 -	18:00	Closing Remarks


* "Recent Advances in Image Representation for Image Segmentation,
  Object Class Detection and Image Classification"
  (Frederic Jurie [University of Caen])

  ABSTRACT   Recent advances in computer vision have made possible to 
	obtain challenging results in difficult tasks such as object 
	class detection [1], shape based object recognition [2], image 
	segmentation [3] or image classification [4]. One of the key 
	ingredients of such advances lies in the development of new 
	frameworks for the representation of images, objects and 
	objects classes. During this talk we will introduce several of
	these recent advances, advances which make possible the 
	automatic processing of large amount of visual data.

	[1] H. Harzallah, F. Jurie, C. Schmid: "Combining efficient 
	    object localization and image classification", ICCV2009
	[2] V. Ferrari, F. Jurie, C. Schmid: "From images to shape 
	    models for object detection", IJCV (to appear)
	[3] D. Larlus, J. Verbeek, F. Jurie: "Category level object
	    segmentation by combining bag-of-words models with Dirichlet
	    processes and random fields", IJCV (to appear)
	[4] F. Moosmann, E. Nowak, F. Jurie: "Randomized clustering
	    forests for image classification", IEEE Trans. PAMI, 30(9)

* "Internet Multimedia: Challenges and Opportunties"
  (Xian-Sheng Hua [Microsoft Research Asia])

  ABSTRACT   With the explosion of video and image data available on the
	Internet, it becomes more and more important and challenging to
	enable Internet-scale content-aware multimedia search, 
	management, sharing and other related applications. Moreover, 
	mining semantics and other useful information from large-scale 
	multimedia data to facilitate online and local multimedia
	content	analysis, search, and other applications has also gained
	more and more attention from both academia and industry. On the 
	one hand, the rapid increase of Internet multimedia data brings 
	us new challenges to multimedia content analysis and multimedia 
	retrieval especially in terms of scalability and semantic gap.
	On the other hand, large-scale multimedia data also provides us 
	new opportunities to attack these challenges as well as 
	conventional problems in media analysis and computer vision. 
	Recently, more and more researchers are realizing both the 
	challenges and the opportunities for multimedia research brought
	by the rapid increase of Internet multimedia data, users, as 
	well as the associated metadata, context and social information.
	This talk will discuss the challenges and opportunities in 
	Internet multimedia research.

	[log in to unmask]

* Ichiro IDE			   [log in to unmask] / [log in to unmask] *
* Nagoya University, Graduate School of Information Science		 *
*	Phone/Facsimile: +81-52-789-3313				 *
* 	Address: #IB-461, 1 Furo-cho, Chikusa-ku, Nagoya 466-8601, Japan *
* 	WWW:	 *