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» Low-Level Image Segmentation Based Scene Classification
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ICML
2009
IEEE
16 years 15 days ago
Multi-class image segmentation using conditional random fields and global classification
A key aspect of semantic image segmentation is to integrate local and global features for the prediction of local segment labels. We present an approach to multi-class segmentatio...
Nils Plath, Marc Toussaint, Shinichi Nakajima
CVPR
2006
IEEE
16 years 1 months ago
Off-road Path Following using Region Classification and Geometric Projection Constraints
We describe a realtime system for finding and tracking unstructured paths in off-road conditions. The system was designed as part of the recent Darpa Grand Challenge and was teste...
Yaniv Alon, Andras Ferencz, Amnon Shashua
SSPR
1998
Springer
15 years 3 months ago
Semantic Content Based Image Retrieval Using Object-Process Diagrams
Abstract. The increase in accessability to on-line visual data has promoted the interest in browsing and retrieval of images from Image Databases. Current approaches assume either ...
Dov Dori, Hagit Zabrodsky Hel-Or
104
Voted
ICDAR
2009
IEEE
15 years 6 months ago
Text Localization in Natural Scene Images Based on Conditional Random Field
This paper proposes a novel hybrid method to robustly and accurately localize texts in natural scene images. A text region detector is designed to generate a text confidence map,...
Yi-Feng Pan, Xinwen Hou, Cheng-Lin Liu
ICIP
2002
IEEE
16 years 1 months ago
Extract highlights from baseball game video with hidden Markov models
In this paper, we describe a statistical method to detect highlights in a baseball game video. The input video is first segmented into scene shots, within which the camera motion ...
Peng Chang, Mei Han, Yihong Gong