DocumentCode
2032217
Title
Using H.264/AVC-Intra for Segmentation-Driven Compound Document Coding
Author
Zaghetto, Alexandre ; De Queiroz, Ricardo L.
Author_Institution
Univ. de Brasilia, Brasilia
Volume
2
fYear
2007
fDate
Sept. 16 2007-Oct. 19 2007
Abstract
In this paper we explore H.264/AVC operating in intraframe mode to compress a mixed image, i.e. composed of text, graphics and pictures. Even though mixed contents (compound) documents usually require the use of multiple compressors, we apply a single compressor for both text and pictures. For that, distortion is taken into account differently between text and picture regions. Our approach is to use a segmentation-driven adaptation strategy to change the H.264/ AVC quantization parameter on a macroblock by macroblock basis, i.e. we deviate bits from pictorial regions to text in order to keep text edges sharp. We show results of a segmentation driven quantizer adaptation method applied to compress documents. Our reconstructed images have better text sharpness compared to straight unadapted coding, at negligible visual losses on pictorial regions. Our results also highlight the fact that H.264/AVC-INTRA outperforms coders such as JPEG-2000 as a single coder for compound images.
Keywords
document handling; image reconstruction; image segmentation; vector quantisation; video coding; H.264 AVC quantization parameter; H.264 AVC-INTRA; compound documents; document compression; image reconstruction; intraframe mode; mixed contents documents; mixed image compression; multiple compressors; segmentation-driven compound document coding; segmentation-driven quantizer adaptation; text compression; text edges; Automatic voltage control; Compression algorithms; Compressors; Graphics; Image coding; Image segmentation; PSNR; Quantization; Testing; Video compression; Compound document coding; H.264/AVC; segmentation-driven image coding;
fLanguage
English
Publisher
ieee
Conference_Titel
Image Processing, 2007. ICIP 2007. IEEE International Conference on
Conference_Location
San Antonio, TX
ISSN
1522-4880
Print_ISBN
978-1-4244-1437-6
Electronic_ISBN
1522-4880
Type
conf
DOI
10.1109/ICIP.2007.4379160
Filename
4379160
Link To Document