Architectural considerations for a new generation of protocols
SIGCOMM '90 Proceedings of the ACM symposium on Communications architectures & protocols
An analytic study of partially ordered transport services
Computer Networks and ISDN Systems
Network-Conscious Compressed Images over Wireless Networks
IDMS '98 Proceedings of the 5th International Workshop on Interactive Distributed Multimedia Systems and Telecommunication Services
High Performance Protocol Architecture
Proceedings of the Sixth IFIP WG6.3 Conference on Performance of Computer Networks: Data Communications and their Performance
Intraframe Low Bit Rate Video Coding Robust to Packet Erasure
DCC '97 Proceedings of the Conference on Data Compression
Robust Wavelet Zerotree Image Compression with Fixed-Length Packetization
DCC '98 Proceedings of the Conference on Data Compression
Network-conscious image compression
Network-conscious image compression
A new, fast, and efficient image codec based on set partitioning in hierarchical trees
IEEE Transactions on Circuits and Systems for Video Technology
SPIHT-NC: Network-Conscious Zerotree Encoding
DCC '00 Proceedings of the Conference on Data Compression
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NETCICATS is a software system for empirically evaluating network-conscious image compression, an approach that does not simply optimize compression, but which optimizes overall performance when compressed images are transmitted over a lossy packet-switched network such as the Internet. Based on Application Level Framing, an image is compressed into path-MTU-size Application Data Units (ADUs) at the application layer. Each ADU contains enough information to be processed independently of all other ADUs. Each ADU can be delivered to the receiving application out-of-order, thereby enabling faster progressive display of images. NETCICATS allows the empirical investigation of the combination of transport protocol features and compression algorithms that perform best over a lossy packet-switched network. It includes software components from the network layer (e.g., lossy router), transport layer (e.g., innovative transport protocols), and application layer (e.g., compression algorithms, browsers, etc.). We describe each component of the system and explain how the whole system is used. This paper also presents two network-conscious image compression algorithms: network-conscious GIF and wavelet zerotree encoding.