Pavel Kisilev, Daniel Freedman, et al.
ICPR 2012
We present a system for transcoding images in the Internet in order to improve their delivery to client devices with a wide range of communication, processing, storage and display capabilities. The content-based image transcoder analyzes the images in order to classify them into image type and image purpose classes. The system then utilizes transcoding policies based on the content classes to manipulate and transcode the images. We describe the image transcoding process for a variety of client devices, including PDAs, HHCs, TV browsers and color PCs, and demonstrate improvements in delivery speed and accessibility of the images in the Internet.
Pavel Kisilev, Daniel Freedman, et al.
ICPR 2012
Michelle X. Zhou, Fei Wang, et al.
ICMEW 2013
Sudeep Sarkar, Kim L. Boyer
Computer Vision and Image Understanding
James E. Gentile, Nalini Ratha, et al.
BTAS 2009