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» Image Retrieval and Annotation Using Maximum Entropy
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ICIP
2002
IEEE
14 years 9 months ago
Unsupervised image segmentation via Markov trees and complex wavelets
The goal in image segmentation is to label pixels in an image based on the properties of each pixel and its surrounding region. Recently Content-Based Image Retrieval (CBIR) has e...
Cián W. Shaffrey, Ian Jermyn, Nick G. Kings...
CORR
2011
Springer
301views Education» more  CORR 2011»
12 years 11 months ago
Human Activity Detection from RGBD Images
Being able to detect and recognize human activities is important for making personal assistant robots useful in performing assistive tasks. The challenge is to develop a system th...
Jaeyong Sung, Colin Ponce, Bart Selman, Ashutosh S...
ICMCS
2007
IEEE
131views Multimedia» more  ICMCS 2007»
14 years 1 months ago
Semantic Retrieval with Enhanced Matchmaking and Multi-Modality Ontology
This paper presents a method for automatically annotating and retrieving animal images. Our model is a multi-modality ontology extended from our previous works in the sense that b...
Huan Wang, Liang-Tien Chia, Song Liu
ICMCS
2006
IEEE
164views Multimedia» more  ICMCS 2006»
14 years 1 months ago
Camera Motion Detection using Video Mosaicing
In this paper, camera motion detection methods using a background image generated by video mosaicing based on the correlation between feature points on a frame pair are described....
Masaki Naito, Kazunori Matsumoto, Keiichiro Hoashi...
CLEF
2009
Springer
13 years 5 months ago
Overview of the CLEF 2009 Large-Scale Visual Concept Detection and Annotation Task
The large-scale visual concept detection and annotation task (LS-VCDT) in ImageCLEF 2009 aims at the detection of 53 concepts in consumer photos. These concepts are structured in ...
Stefanie Nowak, Peter Dunker