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MM
2006
ACM
130views Multimedia» more  MM 2006»
14 years 1 months ago
An unsupervised method for clustering images based on their salient regions of interest
We have developed a biologically-motivated, unsupervised way of grouping together images whose salient regions of interest (ROIs) are perceptually similar regardless of the visual...
Gustavo B. Borba, Humberto R. Gamba, Oge Marques, ...
WWW
2010
ACM
13 years 11 months ago
Diversifying landmark image search results by learning interested views from community photos
In this paper, we demonstrate a novel landmark photo search and browsing system, Agate, which ranks landmark image search results considering their relevance, diversity and qualit...
Yuheng Ren, Mo Yu, Xin-Jing Wang, Lei Zhang, Wei-Y...
EC
2008
174views ECommerce» more  EC 2008»
13 years 7 months ago
Automated Design of Image Operators that Detect Interest Points
This work describes how evolutionary computation can be used to synthesize lowlevel image operators that detect interesting points on digital images. Interest point detection is a...
Leonardo Trujillo, Gustavo Olague
JMM2
2008
107views more  JMM2 2008»
13 years 7 months ago
Finding Interesting Images in Albums using Attention
Commercial systems such as Flickr display interesting photos from their collection as an interaction mechanism for sampling the collection. It purely relies on social activity anal...
Karthikeyan Vaiapury, Mohan S. Kankanhalli
CRV
2006
IEEE
128views Robotics» more  CRV 2006»
13 years 11 months ago
Expert Knowledge Based Automatic Regions-of-Interest (ROI) Selection in Scanned Documents for Digital Image Encryption
Conventional image-oriented cryptographic techniques lack the flexibility needed for content-specific security features such as the concealment of confidential information within ...
Alexander Wong, William Bishop