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» Image Compression using Object-Based Regions of Interest
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3DPVT
2002
IEEE
131views Visualization» more  3DPVT 2002»
14 years 1 months ago
Octree approximation and compression methods
Techniques are presented to progressively approximate and compress in a lossless manner two-colored (i.e. binary) 3D objects (as well as objects of arbitrary dimensionality). The ...
Hanan Samet, Andrzej Kochut
ICIP
2004
IEEE
14 years 10 months ago
Object-based video coding using a dynamic coding approach
In this paper we propose a video-object based coding scheme using dynamic coding. The principle of dynamic coding is to set on competition different coders on each video object. T...
Henri Nicolas, Marc Chaumont, Stéphane Pate...
CVPR
2007
IEEE
14 years 10 months ago
Principal Curvature-Based Region Detector for Object Recognition
This paper presents a new structure-based interest region detector called Principal Curvature-Based Regions (PCBR) which we use for object class recognition. The PCBR interest ope...
Hongli Deng, Wei Zhang, Eric N. Mortensen, Thomas ...
ECCV
2006
Springer
14 years 10 months ago
Region Covariance: A Fast Descriptor for Detection and Classification
We describe a new region descriptor and apply it to two problems, object detection and texture classification. The covariance of d-features, e.g., the three-dimensional color vecto...
Oncel Tuzel, Fatih Porikli, Peter Meer
IH
2010
Springer
13 years 7 months ago
Detection of Copy-Rotate-Move Forgery Using Zernike Moments
As forgeries have become popular, the importance of forgery detection is much increased. Copy-move forgery, one of the most commonly used methods, copies a part of the image and pa...
Seung-Jin Ryu, Min-Jeong Lee, Heung-Kyu Lee