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» A Probability Model for Image Annotation
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CVPR
2008
IEEE
15 years 8 months ago
Scene understanding with discriminative structured prediction
Spatial priors play crucial roles in many high-level vision tasks, e.g. scene understanding. Usually, learning spatial priors relies on training a structured output model. In this...
Jinhui Yuan, Jianmin Li, Bo Zhang
IWCM
2004
Springer
15 years 7 months ago
Bayesian Approaches to Motion-Based Image and Video Segmentation
We present a variational approach for segmenting the image plane into regions of piecewise parametric motion given two or more frames from an image sequence. Our model is based on ...
Daniel Cremers
ICMCS
2007
IEEE
131views Multimedia» more  ICMCS 2007»
15 years 8 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
CVPR
2009
IEEE
16 years 8 months ago
A Collaborative Benchmark for Region of Interest Detection Algorithms
This paper presents a collaborative benchmark for region of interest (ROI) detection in images. ROI detection has many useful applications and many algorithms have been proposed...
Tz-Huan Huang, Kai-Yin Cheng and Yung-Yu Chuang
CORR
2011
Springer
210views Education» more  CORR 2011»
14 years 9 months ago
Statistical Compressed Sensing of Gaussian Mixture Models
A novel framework of compressed sensing, namely statistical compressed sensing (SCS), that aims at efficiently sampling a collection of signals that follow a statistical distribu...
Guoshen Yu, Guillermo Sapiro