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306
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PAMI
2010
396views more  PAMI 2010»
15 years 1 months ago
Self-Validated Labeling of Markov Random Fields for Image Segmentation
—This paper addresses the problem of self-validated labeling of Markov random fields (MRFs), namely to optimize an MRF with unknown number of labels. We present graduated graph c...
Wei Feng, Jiaya Jia, Zhi-Qiang Liu
186
Voted
BILDMED
2011
225views Algorithms» more  BILDMED 2011»
14 years 6 months ago
Using Power Watersheds to Segment Benign Thyroid Nodules in Ultrasound Image Data
Thyroid nodule segmentation is a hard task due to different echo structures, textures and echogenicities in ultrasound (US) images as well as speckle noise. Currently, a typical c...
Eva N. K. Kollorz, Elli Angelopoulou, Michael Beck...
123
Voted
ICIP
2008
IEEE
16 years 5 months ago
Shot classification for action movies based on motion characteristics
In this paper, we propose a shot classification method for action movies. Considering that motion characteristic is very important for semantic movie analysis, and it contains abu...
Shuhui Wang, Shuqiang Jiang, Qingming Huang, Wen G...
KDD
2002
ACM
286views Data Mining» more  KDD 2002»
16 years 3 months ago
Object Boundary Detection For Ontology-Based Image Classification
Technology in the field of digital media generates huge amounts of non-textual information, audio, video, and images, along with more familiar textual information. The potential f...
Lei Wang, Latifur Khan, Casey Breen
SIGGRAPH
2000
ACM
15 years 7 months ago
Image inpainting
Inpainting, the technique of modifying an image in an undetectable form, is as ancient as art itself. The goals and applications of inpainting are numerous, from the restoration o...
Marcelo Bertalmío, Guillermo Sapiro, Vicent...