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» Face image retrieval by using Haar features
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ICMCS
2005
IEEE
78views Multimedia» more  ICMCS 2005»
15 years 12 months ago
Meeting video retrieval using dynamic HMM model similarity
Overcoming the semantic-feature gap and adapting to context are two main challenges in content-based retrieval. The problem is even more complicated for unstructured videos such a...
Dar-Shyang Lee, Jonathan J. Hull, Berna Erol
AMFG
2007
IEEE
315views Biometrics» more  AMFG 2007»
16 years 22 days ago
Structured Ordinal Features for Appearance-Based Object Representation
In this paper, we propose a novel appearance-based representation, called Structured Ordinal Feature (SOF). SOF is a binary string encoded by combining eight ordinal blocks in a ci...
ShengCai Liao, Zhen Lei, Stan Z. Li, Xiaotong Yuan...
SPIESR
2000
104views Database» more  SPIESR 2000»
15 years 7 months ago
Feature localization and search by object model under illumination change
Color object recognition methods that are based on image retrieval algorithms can handle changes of illumination via image normalization, e.g. simple color-channel-normalization1 ...
Mark S. Drew, Zinovi Tauber, Ze-Nian Li
SIGIR
2008
ACM
15 years 6 months ago
Learning to reduce the semantic gap in web image retrieval and annotation
We study in this paper the problem of bridging the semantic gap between low-level image features and high-level semantic concepts, which is the key hindrance in content-based imag...
Changhu Wang, Lei Zhang 0001, Hong-Jiang Zhang
ICIP
2001
IEEE
16 years 8 months ago
A comparison of discrete and continuous output modeling techniques for a pseudo-2D hidden Markov model face recognition system
Face recognition has become an important topic within the field of pattern recognition and computer vision. In this field a number of different approaches to feature extraction, m...
Frank Wallhoff, Stefan Eickeler, Gerhard Rigoll