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» Image Compression using Object-Based Regions of Interest
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ICIP
2003
IEEE
14 years 9 months ago
Approximation and compression of piecewise smooth images using a wavelet/wedgelet geometric model
Inherent to photograph-like images are two types of structures: large smooth regions and geometrically smooth edge contours separating those regions. Over the past years, efficien...
Justin K. Romberg, Michael B. Wakin, Richard G. Ba...
EVOW
2007
Springer
13 years 11 months ago
Scale Invariance for Evolved Interest Operators
Abstract. This work presents scale invariant region detectors that apply evolved operators to extract an interest measure. We evaluate operators using their repeatability rate, and...
Leonardo Trujillo, Gustavo Olague
ICIP
2008
IEEE
14 years 9 months ago
Compressive image fusion
Compressive sensing (CS) has received a lot of interest due to its compression capability and lack of complexity on the sensor side. In this paper, we present a study of three sam...
Tao Wan, Cedric Nishan Canagarajah, Alin Achim
ICPR
2004
IEEE
14 years 8 months ago
Galilean-Diagonalized Spatio-Temporal Interest Operators
Abstract. This paper presents a set of image operators for detecting regions in space-time where interesting events occur. To define such regions of interest, we compute a spatio-t...
Amir Akbarzadeh, Ivan Laptev, Tony Lindeberg
DCC
2004
IEEE
14 years 7 months ago
Coding for Fast Access to Image Regions Defined by Pixel Range
Many technical imaging applications, like coding "images" of digital elevation maps, require extracting regions of compressed images in which the pixel values are within...
Amir Said, Sehoon Yea, William A. Pearlman