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» Extraction of semantic objects from still images
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CVPR
2009
IEEE
14 years 4 months ago
Recognizing realistic actions from videos
In this paper, we present a systematic framework for recognizing realistic actions from videos “in the wild.” Such unconstrained videos are abundant in personal collections as...
Jingen Liu, Jiebo Luo, Mubarak Shah
APWEB
2006
Springer
14 years 26 days ago
Image Description Mining and Hierarchical Clustering on Data Records Using HR-Tree
Since we can hardly get semantics from the low-level features of the image, it is much more difficult to analyze the image than textual information on the Web. Traditionally, textu...
Congle Zhang, Sheng Huang, Gui-Rong Xue, Yong Yu
TOG
2010
181views more  TOG 2010»
13 years 3 months ago
Context-based search for 3D models
Large corpora of 3D models, such as Google 3D Warehouse, are now becoming available on the web. It is possible to search these databases using a keyword search. This makes it poss...
Matthew Fisher, Pat Hanrahan
IVC
2008
69views more  IVC 2008»
13 years 8 months ago
Unsupervised texture classification: Automatically discover and classify texture patterns
In this paper, we present a novel approach to classify texture collections. This approach does not require experts to provide annotated training set. Given the image collection, w...
Lei Qin, Qingfang Zheng, Shuqiang Jiang, Qingming ...
JEI
2007
199views more  JEI 2007»
13 years 9 months ago
New benchmark for image segmentation evaluation
Image segmentation and its performance evaluation are very difficult but important problems in computer vision. A major challenge in segmentation evaluation comes from the fundame...
Feng Ge, Song Wang, Tiecheng Liu