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» Application of Level Set Methods in Computer Vision
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ICCSA
2003
Springer
16 years 17 hour ago
Rate Control for Low Bit Rate Video via Enhanced Frame Skipping
A scene-adaptive rate control algorithm with an enhanced frame skipping is proposed for low bit rate video coding. Most existing rate control algorithms for low bit rate video focu...
Jae-Young Pyun, Yoon Kim, Sung-Jea Ko
KDD
2009
ACM
257views Data Mining» more  KDD 2009»
16 years 1 months ago
Argo: intelligent advertising by mining a user's interest from his photo collections
In this paper, we introduce a system named Argo which provides intelligent advertising made possible from users’ photo collections. Based on the intuition that user-generated ph...
Xin-Jing Wang, Mo Yu, Lei Zhang, Rui Cai, Wei-Ying...
IJCV
2007
179views more  IJCV 2007»
15 years 6 months ago
Global Detection of Salient Convex Boundaries
As an important geometric property of many structures or structural components, convexity plays an important role in computer vision and image understanding. In this paper, we desc...
Song Wang, Joachim S. Stahl, Adam Bailey, Michael ...
CIVR
2007
Springer
155views Image Analysis» more  CIVR 2007»
16 years 1 months ago
Detection of near-duplicate images for web search
Among the vast numbers of images on the web are many duplicates and near-duplicates, that is, variants derived from the same original image. Such near-duplicates appear in many we...
Jun Jie Foo, Justin Zobel, Ranjan Sinha, Seyed M. ...
JMLR
2012
13 years 9 months ago
Metric and Kernel Learning Using a Linear Transformation
Metric and kernel learning arise in several machine learning applications. However, most existing metric learning algorithms are limited to learning metrics over low-dimensional d...
Prateek Jain, Brian Kulis, Jason V. Davis, Inderji...