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IMCSIT
2010
14 years 7 months ago
Emotion-based Image Retrieval - an Artificial Neural Network Approach
Human emotions can provide an essential clue in searching images in an image database. The paper presents our approach to content based image retrieval systems which takes into acc...
Katarzyna Agnieszka Olkiewicz, Urszula Markowska-K...
ICCV
2009
IEEE
16 years 2 months ago
Image Restoration using Online Photo Collections
We present an image restoration method that leverages a large database of images gathered from the web. Given an input image, we execute an efficient visual search to find the c...
Kevin Dale, Micah K. Johnson, Kalyan Sunkavalli, W...
BMCBI
2008
137views more  BMCBI 2008»
14 years 10 months ago
Evading the annotation bottleneck: using sequence similarity to search non-sequence gene data
Background: Non-sequence gene data (images, literature, etc.) can be found in many different public databases. Access to these data is mostly by text based methods using gene name...
Michael J. Gilchrist, Mikkel B. Christensen, Richa...
ICMCS
2006
IEEE
135views Multimedia» more  ICMCS 2006»
15 years 3 months ago
Videopot: Indexing-Based Desktop Video Search System
We present VideoPot, a desktop video search system designed for digital video files stored on personal computers. The core metric of this system is based on video-indexing techno...
Hidenobu Nagata, Dan Mikami, Shozo Azuma, Masashi ...
COMPSAC
2002
IEEE
15 years 2 months ago
An Effective Content-Based Visual Image Retrieval System
In this paper, an effective content-based visual image retrieval system is presented. This system consists of two main components: visual content extraction and indexing, and quer...
Xiuqi Li, Shu-Ching Chen, Mei-Ling Shyu, Borko Fur...