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VISUAL
2000
Springer
13 years 10 months ago
Shape Description for Content-Based Image Retrieval
Abstract. The present work is focused on a global image characterization based on a description of the 2D displacements of the different shapes present in the image, which can be e...
Edoardo Ardizzone, Antonio Chella, Roberto Pirrone
CVPR
2011
IEEE
13 years 2 months ago
Face Image Retrieval by Shape Manipulation
Current face image retrieval methods achieve impressive results, but lack efficient ways to refine the search, particularly for geometric face attributes. Users cannot easily ...
Brandon Smith, Shengqi Zhu, Li Zhang
MTA
2006
169views more  MTA 2006»
13 years 6 months ago
MBC-based shape retrieval: basics, optimizations, and open problems
Shape of an object is an important feature for image and multimedia similarity retrievals. In our previous studies we introduced a new boundary-based technique (MBC-based) for shap...
Maytham Safar, Cyrus Shahabi
VLDB
2000
ACM
121views Database» more  VLDB 2000»
13 years 10 months ago
Optimizing Multi-Feature Queries for Image Databases
In digital libraries image retrieval queries can be based on the similarity of objects, using several feature attributes like shape, texture, color or text. Such multi-feature que...
Ulrich Güntzer, Wolf-Tilo Balke, Werner Kie&s...
ICIP
1999
IEEE
14 years 8 months ago
Water-Filling: A Novel Way for Image Structural Feature Extraction
The performance of a content based image retrieval (CBIR) system is inherently constrained by the features adopted to represent the images in the database. In this paper, a new ap...
Xiang Sean Zhou, Yong Rui, Thomas S. Huang