Dear all,
Please find below the CFP for the WS-LAVD2009 Workshop held in
conjunction with ICCV2009.
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<<<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
http://www.lavd.org/
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PROGRAM
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
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KEYNOTE TALKS
* "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)
(2008)
* "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.
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CONTACT
[log in to unmask]
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* 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: http://www.murase.m.is.nagoya-u.ac.jp/~ide/index.html *
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