Title :
The role of compressed document images in transmission and retrieval
Author :
Kia, O. ; Doermann, D.
Author_Institution :
Center for Autom. Res., Maryland Univ., College Park, MD, USA
Abstract :
Document images belong to a unique class of images where the information content is contained in the language represented by a series of symbols on the page, rather than in the visual objects themselves. For this reason, it is essential to preserve the fidelity of individual components when considering methods of compression. Likewise the component level structure should be a prime consideration when ordering information for lossy or progressive transmission. We refine our work on document image compression as it applies to transmission and retrieval. We first overview the basic compression scheme, then describe a structural hierarchy which provides desirable properties for transmission. We present the results of a rate distortion experiment and discuss the implications for network applications
Keywords :
data compression; document image processing; image coding; multimedia computing; query processing; visual databases; component level structure; document image compression; image retrieval; image transmission; information content; lossy transmission; multimedia; network applications; progressive transmission; rate distortion experiment; structural hierarchy; symbols; visual objects; Automation; Educational institutions; Image coding; Image retrieval; Image storage; Laboratories; Propagation losses; Rate-distortion; Redundancy; Transform coding;
Conference_Titel :
Multimedia Signal Processing, 1997., IEEE First Workshop on
Conference_Location :
Princeton, NJ
Print_ISBN :
0-7803-3780-8
DOI :
10.1109/MMSP.1997.602657
