Segmentation-Driven Compound Document Coding Based on H.264/AVC-INTRA

Non-camera captured images (also known as compound image) contain a mixture of camera-captured natural images and computer-generated graphics and texts. Nowadays, there are more and more applications calling for non-camera captured image/video compression scheme. However, current video coding standards, which are designed for natural video, treat non-camera captured video less carefully. For example, the state-of-the-art video coding standard High Ef ciency Video Coding (HEVC) may blur or even remove edges in text/graphic region. A lot of schemes are proposed to preserve direction property of texts and graphics, such as palette-based intra coding. In this paper, a novel palette coding scheme is proposed for palette-based intra coding in HEVC. The palette in a block is predicted from an adaptive palette template, which records the statistical non-local spatial correlation of an image. Every block chooses its own palette using the palette template as the prediction in a rate-distortion optimized manner. Experimental results show that the proposed scheme can achieve up to 5.2% bit-rate saving compared to the state-of-the-art palette-based coding scheme in HEVC.

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“…Then, the palette template of block i can be derived by equation (8). But in this way, all the palette elements of previous block must be stored.…”

Section: Proposed Palette Coding Schemementioning

confidence: 99%

“…The bit-allocation approaches didn't change the coding structure, they simply gave more bits or ner quantization steps to the text/graphic areas [7,8]. But these approaches could not deal with the situation which most of the image was text/graphic region.…”

Section: Introductionmentioning

confidence: 99%

Palette-based compound image compression in HEVC by exploiting non-local spatial correlation

Zhu

Dai

et al. 2014

2014 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP)

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“…Ramos and De Queiroz [4] used a single JPEG coder for the compression of mixed documents, stealing bits from background and images to give to text and sharp graphics edges. Alexandre Zaghetto and Ricardo L de Queiroz [5] use a segmentation-driven adaptation strategy to change the H.264/AVC quantization parameter on a macroblock by macroblock basis. But there are strong edges in text or graphic region; they can not be handled effectively by DCT based coding algorithm.…”

Section: Introductionmentioning

confidence: 99%

Classification-Based Adaptive Compression Method for Computer Screen Image

Shen

Zhu

et al. 2012

2012 IEEE International Conference on Multimedia and Expo Workshops

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In this paper, a classification-based adaptive compression method for computer screen image is presented. This method firstly divides the computer Screen Image into 16x16 non-overlapping blocks, and then every block is classified into three types: text/graphic, pictorial and hybrid blocks based on the characteristics of histogram distribution and the number of colors. For complex text/graphic block, k -Means clustering method is used to reduce the number of colors to improve compression performance, finally the text/graphic block is coded by our proposed lossless coding method, hybrid block is coded by hybrid coding method and the pictorial block is coded by H.264-like intra coding method. Experiment results show that our proposed block classification method exactly distinguishes three block types, color clustering method can effectively reduce the number of colors for complex text/graphic. The compression performance and subjective image quality of our proposed method can outperform JPEG and JP2k.

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“…Examples of continuous-tone image compression algorithm are JPEG [5] or JPEG2000 [6,7]. Some results point to the fact that the many coding advances brought into H.264/AVC operating in pure intra mode also made it a formidable compressor for still images [8,9,10]. Multilayer approaches such as the mixed raster content (MRC) imaging model [11,12,13,14,15] are also challenged by soft edges in scanned documents, often requiring pre-and post-processing [16].…”

Section: Introductionmentioning

confidence: 99%

HEVC-based scanned document compression

Zaghetto

Macchiavello

Queiroz

2012

2012 19th IEEE International Conference on Image Processing

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This paper proposes a hybrid pattern matching/transform-based compression engine for scanned compound documents. The novelty of this approach is demonstrated by using a modified version of the HEVC (High Efficiency Video Coding) Test Model as a compound document compressor, here conveniently referred to as HEDC (High Efficiency Document Coder). The proposed method uses segments of a document to create a video sequence, which is then encoded by HEDC. The idea is to explore interframe prediction as a pattern matching algorithm for coding units pre-classified as text; and intraframe prediction for coding units pre-classified as image. Results show that HEDC outperforms AVC-I, HEVC-I (H.264/AVC and HEVC operating in pure intra mode), H.264/AVC and JPEG2000 by up to 3.3, 2.5, 1.7 and 5 dB, respectively. Furthermore, for most documents the proposed method yields practically the same rate-distortion performance as regular HEVC, but is approximately 5% to 20% faster due to a pre-classification algorithm that prevents it of performing all possible inter/intra prediction tests for each prediction unit.

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Segmentation-Driven Compound Document Coding Based on H.264/AVC-INTRA

Cited by 29 publications

References 15 publications

Palette-based compound image compression in HEVC by exploiting non-local spatial correlation

Palette-based compound image compression in HEVC by exploiting non-local spatial correlation

Classification-Based Adaptive Compression Method for Computer Screen Image

HEVC-based scanned document compression

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