'Image retrieval' diaporamas de présentation

From metric homotopies to nD persistence

From metric homotopies to nD persistence. Massimo Ferri Mathematics Department Univ. of Bologna http://www.dm.unibo.it/~ferri/e.htm ferri@dm.unibo.it. From metric homotopies to nD persistence. The University of Bologna Metric homotopies Size Functions and Natural Pseudodistance

668 views • 57 slides

IC-BNMT2007 ????

IC-BNMT2007 ????. ???? ???? ??????. ????. IC-BNMT2007 ???? ????? ?????????? ????. 1. IC-BNMT2007 ????. IC-BNMT 2007 ??. 2007 International Conference on Broadband Network & Multimedia Technology ?????? ???? ?????? ?? ???????????????? ICT Triangle Forum 2007 ? ?? ?? ???????????

639 views • 52 slides

Image Retrieval

Image Retrieval. Hao Jiang Computer Science Department 2009. Color Histogram Methods. Color only schemes tend to find many unrelated images. http://amazon.ece.utexas.edu/~qasim/qdialog_IMGDATA2_v1_Birds_Swans.html. Improve Color Histogram Methods.

643 views • 49 slides

Image Retrieval: Current Techniques, Promising Directions, and Open Issues

Image Retrieval: Current Techniques, Promising Directions, and Open Issues. Yong Rui, Thomas Huang and Shih-Fu Chang Published in the Journal of Visual Communication and Image Representation. Presented by: Deepak Bote. Presentation Outline. History of image retrieval – Issues faced

592 views • 41 slides

Topic regards: ? Review of CBIR ? Line clusters for CBIR

Topic regards: ? Review of CBIR ? Line clusters for CBIR ? NPR using normal ? Combine CBIR & NPR ? Search result visualization. Yuan-Hao Lai. Image Retrieval: Current Techniques, Promising Directions, and Open Issues. Yong Rui, Thomas S. Huang

509 views • 40 slides

Spatial Range Querying for Gaussian-Based Imprecise Query Objects

Spatial Range Querying for Gaussian-Based Imprecise Query Objects. Yoshiharu Ishikawa , Yuichi Iijima Nagoya University Jeffrey Xu Yu The Chinese University of Hong Kong. Outline. Background and Problem Formulation Related Work Query Processing Strategies Experimental Results Conclusions.

478 views • 37 slides

Chapter 8

Chapter 8. Documented applications of TRS and affine moment invariants. Character/digit/symbol recognition Recognition of aircraft and ship silhouettes (also from non-perpendicular views) Recognition of components on an assembly belt

500 views • 35 slides

Andrea Frome, Yoram Singer, Fei Sha, Jitendra Malik

Learning Globally-Consistent Local Distance Functions for Shape-Based Image Retrieval and Classification. Andrea Frome, Yoram Singer, Fei Sha, Jitendra Malik. Goal. Nearest neighbor classification. D ( , ). Learning a Distance Metric from Relative Comparisons.

429 views • 29 slides

Performance Analysis of Color Components in Histogram-Based Image Retrieval

Performance Analysis of Color Components in Histogram-Based Image Retrieval. Presented by Tienwei Tsai Department of Information Management Chihlee Institute of Technology, 2006/6/26. Outline. 1. Introduction. 2. Color Space. 3. Color Histogram. 4. Distance Measurement.

410 views • 28 slides

Visual Event Recognition in Videos by Learning from Web Data

459 views • 26 slides

Representing, Learning, and Recognizing Non-Rigid Textures and Texture Categories Svetlana Lazebnik Cordelia Schmid Jea

Representing, Learning, and Recognizing Non-Rigid Textures and Texture Categories Svetlana Lazebnik Cordelia Schmid Jean Ponce Beckman Institute Gravir Laboratory Beckman Institute UIUC, USA INRIA, France UIUC, USA.

350 views • 24 slides

Putting Motion into the Image Retrieval Interface Defining the colors of 3D objects

Putting Motion into the Image Retrieval Interface Defining the colors of 3D objects. Elise Lewis University of North Texas. Overview. Introduction Background Retrieval issues-CBIR Assumptions 2D vs. 3D Study Conclusions Future Research. Introduction. Images are expected

421 views • 19 slides

By Yinan Zhao

Semantic Retrieval in Movie. --based on Buffy the vampire slayer. By Yinan Zhao. Buffy the vampire slayer. American television series Aired from March 10, 1997 until May 20, 2003 7 seasons, 144 episodes, 40 minutes per episode A story about vampire and the slayer Buffy Favorite scene.

356 views • 19 slides

Presenting by, Prashanth B R 1AR08CS035 Dept.Of CSE. AIeMS-Bidadi .

293 views • 18 slides

Collections from the Arts and Humanities Data Service (AHDS) ahds.ac.uk/

650 views • 17 slides

Visual query processing for ef?cient image retrieval using a SOM-based ?lter-re?nement scheme

Visual query processing for ef?cient image retrieval using a SOM-based ?lter-re?nement scheme. Presenter : JHOU, YU-LIANG Authors : Zhiwen Yu, Hau -San Wong, Jane You, Guoqiang Han 2012,Information Sciences. Outlines. Motivation Objectives Methodology

339 views • 17 slides

INAOE at ImageCLEF2007 Towards Annotation based Image Retrieval

260 views • 17 slides

Content-based Visual Search System

Content-based Visual Search System. Yichao Sun ys2539. Role play a little. Fashion Designer. Museum Cataloger. Basic Concepts. Image Retrieval Visual Features. Introduction. Image Retrieve Keyword-based / Text-based Revolution Google Similar Image Search / Tineyes

248 views • 12 slides

Content-Based Image Retrieval (CBIR) By: Victor Makarenkov Michael Marcovich Noam Shemesh

Content-Based Image Retrieval (CBIR) By: Victor Makarenkov Michael Marcovich Noam Shemesh. What is CBIR.

300 views • 9 slides

Kai Uwe Barthel FHTW Berlin, Treskowallee 8, 10313 Berlin, Germany, barthel@fhtw-berlin.de

Improved image retrieval using automatic image sorting and semi-automatic generation of image semantics. =. Query Image. Result Images. Internet image search. Small search result set. plant. Kai Uwe Barthel FHTW Berlin, Treskowallee 8, 10313 Berlin, Germany, barthel@fhtw-berlin.de.

174 views • 1 slides