NETCICATS: Network-Conscious Image Compression and Transmission System

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.

[1]  David D. Clark,et al.  Architectural considerations for a new generation of protocols , 1990, SIGCOMM '90.

[2]  Jerome M. Shapiro,et al.  Embedded image coding using zerotrees of wavelet coefficients , 1993, IEEE Trans. Signal Process..

[3]  William A. Pearlman,et al.  A new, fast, and efficient image codec based on set partitioning in hierarchical trees , 1996, IEEE Trans. Circuits Syst. Video Technol..

[4]  Walid Dabbous,et al.  High-performance protocol architecture , 1997, Comput. Networks ISDN Syst..

[5]  Charles D. Creusere.  Family of image compression algorithms which are robust to transmission errors , 1996, Optics & Photonics.

[6]  A. Said,et al.  Manuscript Submitted to the Ieee Transactions on Circuits and Systems for Video Technology a New Fast and Eecient Image Codec Based on Set Partitioning in Hierarchical Trees , 2007 .

[7]  Paul D. Amer,et al.  Transport QoS over Unreliable Networks: No Guarantees, No Free Lunch! , 1997 .

[8]  Paul D. Amer,et al.  Network-Conscious Compressed Images over Wireless Networks , 1998, IDMS.

[9]  Pamela C. Cosman,et al.  Robust wavelet zerotree image compression with fixed-length packetization , 1998, Proceedings DCC '98 Data Compression Conference (Cat. No.98TB100225).

[10]  Paul D. Amer,et al.  Testing environment for innovative transport protocols , 1998, IEEE Military Communications Conference. Proceedings. MILCOM 98 (Cat. No.98CH36201).

[11]  Paul D. Amer,et al.  Network-conscious GIF image transmission over the Internet , 1999, Comput. Networks.

[12]  Paul D. Amer,et al.  An analytic study of partially ordered transport services , 1997, Comput. Networks ISDN Syst..

[13]  F. Kossentini,et al.  Robust EZW image coding for noisy channels , 1997, IEEE Signal Processing Letters.

[14]  Paul D. Amer,et al.  Network-conscious image compression , 1999 .

[15]  Charles D. Creusere.  Image coding using parallel implementations of the embedded zerotree wavelet algorithm , 1996, Electronic Imaging.

[16]  Thomas R. Fischer,et al.  Intraframe low bit rate video coding robust to packet erasure , 1997, Proceedings DCC '97. Data Compression Conference.