title: Segmentation-driven compound document coding based on H.264/AVC-INTRA.
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.
authors.affiliation: Department of Electrical Engineering, Universidade de Brasilia, Brasilia, DF, 70910-900, Brazil. zaghetto@image.unb.br
authors.forename: Alexandre
authors.initials: A
authors.lastname: Zaghetto
authors.forename: Ricardo L
authors.initials: RL
authors.lastname: de Queiroz
mesh_terms: D000465:Algorithms; D003196:Computer Graphics / Q000592:standards; D044962:Data Compression / Q000379:methods* / Q000592:standards*; D004282:Documentation / Q000592:standards; D007089:Image Enhancement / Q000379:methods*; D007090:Image Interpretation, Computer-Assisted / Q000379:methods*; D038622:Internationality; D019212:Multimedia / Q000592:standards; D009716:Numerical Analysis, Computer-Assisted; D012815:Signal Processing, Computer-Assisted; D014741:Video Recording / Q000379:methods*