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ESWA
2008
127views more  ESWA 2008»
13 years 9 months ago
A two-level relevance feedback mechanism for image retrieval
Content-based image retrieval (CBIR) is a group of techniques that analyzes the visual features (such as color, shape, texture) of an example image or image subregion to find simi...
Pei-Cheng Cheng, Been-Chian Chien, Hao-Ren Ke, Wei...
SEMCO
2007
IEEE
14 years 3 months ago
Perceptual Shape-Based Natural Image Representation and Retrieval
Human visual recognition is based largely on shape, yet effectively using shapes in natural image retrieval is a challenging task. Most existing methods are based on the geometric...
Xiaofen Zheng, Scott A. Sherrill-Mix, Qigang Gao
ACL
2006
13 years 10 months ago
Discriminating Image Senses by Clustering with Multimodal Features
We discuss Image Sense Discrimination (ISD), and apply a method based on spectral clustering, using multimodal features from the image and text of the embedding web page. We evalu...
Nicolas Loeff, Cecilia Ovesdotter Alm, David A. Fo...
ICDAR
2011
IEEE
12 years 8 months ago
Math Spotting: Retrieving Math in Technical Documents Using Handwritten Query Images
—A method for locating mathematical expressions in document images without the use of optical character recognition is presented. An index of document regions is produced from re...
Richard Zanibbi, Li Yu
DIAL
2006
IEEE
117views Image Analysis» more  DIAL 2006»
14 years 2 months ago
Document Image Retrieval using Signatures as Queries
In searching a repository of business documents, a task of interest is that of using a query signature image to retrieve from a database, other signatures matching the query. The ...
Sargur N. Srihari, Shravya Shetty, Siyuan Chen, Ha...