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Zheru Chi - One of the best experts on this subject based on the ideXlab platform.

  • Document image recognition based on template matching of Component Block projections
    IEEE Transactions on Pattern Analysis and Machine Intelligence, 2003
    Co-Authors: Hanchuan Peng, Fuhui Long, Zheru Chi
    Abstract:

    Document Image Recognition (DIR), a very useful technique in office automation and digital library applications, is to find the most similar template for any input document image in a prestored template document image data set. Existing methods use both local features and global layout information. In this paper, we propose a novel algorithm based on the global matching of Component Block Projections (CBP), which are the concatenated directional projection vectors of the Component Blocks of a document image. Compared to those existing methods, CBP-based template-matching methods possess two major advantages: (1) The spatial relationship among the Component Blocks of a document image is better represented, hence a very high matching accuracy can be obtained even for a large template set and seriously distorted input images; and (2) the effective matching distance of each template and the triangle inequality are proposed to significantly reduce the computational cost. Our experimental results confirm these advantages and show that the CBP-based template-matching methods are very suitable for DIR applications.

  • Document image template matching based on Component Block list
    Pattern Recognition Letters, 2001
    Co-Authors: Hanchuan Peng, Zheru Chi, Fuhui Long, Wan-chi Siu
    Abstract:

    Abstract Document image matching is the key technique for document image registration and retrieval. In this paper, a new matching method based on document Component Block list (CBL) is proposed. A document image is firstly parsed into a number of Component Blocks that are defined as non-adherent rectangular areas of substantial document contents. Then these Blocks are organized as a list, on which several matching operations are defined. The template image that is most similar to the querying document image is selected as the matching result. Our method can effectively make use of the local information of each page Component Block and the global information of document page layout. We investigate the method with large-scale document template image database. Our method manifests good matching accuracy and good robustness to image distortion, filled-in text, and noises.

Hanchuan Peng - One of the best experts on this subject based on the ideXlab platform.

  • Document image recognition based on template matching of Component Block projections
    IEEE Transactions on Pattern Analysis and Machine Intelligence, 2003
    Co-Authors: Hanchuan Peng, Fuhui Long, Zheru Chi
    Abstract:

    Document Image Recognition (DIR), a very useful technique in office automation and digital library applications, is to find the most similar template for any input document image in a prestored template document image data set. Existing methods use both local features and global layout information. In this paper, we propose a novel algorithm based on the global matching of Component Block Projections (CBP), which are the concatenated directional projection vectors of the Component Blocks of a document image. Compared to those existing methods, CBP-based template-matching methods possess two major advantages: (1) The spatial relationship among the Component Blocks of a document image is better represented, hence a very high matching accuracy can be obtained even for a large template set and seriously distorted input images; and (2) the effective matching distance of each template and the triangle inequality are proposed to significantly reduce the computational cost. Our experimental results confirm these advantages and show that the CBP-based template-matching methods are very suitable for DIR applications.

  • Document image template matching based on Component Block list
    Pattern Recognition Letters, 2001
    Co-Authors: Hanchuan Peng, Zheru Chi, Fuhui Long, Wan-chi Siu
    Abstract:

    Abstract Document image matching is the key technique for document image registration and retrieval. In this paper, a new matching method based on document Component Block list (CBL) is proposed. A document image is firstly parsed into a number of Component Blocks that are defined as non-adherent rectangular areas of substantial document contents. Then these Blocks are organized as a list, on which several matching operations are defined. The template image that is most similar to the querying document image is selected as the matching result. Our method can effectively make use of the local information of each page Component Block and the global information of document page layout. We investigate the method with large-scale document template image database. Our method manifests good matching accuracy and good robustness to image distortion, filled-in text, and noises.

Wan-chi Siu - One of the best experts on this subject based on the ideXlab platform.

  • Document image template matching based on Component Block list
    Pattern Recognition Letters, 2001
    Co-Authors: Hanchuan Peng, Zheru Chi, Fuhui Long, Wan-chi Siu
    Abstract:

    Abstract Document image matching is the key technique for document image registration and retrieval. In this paper, a new matching method based on document Component Block list (CBL) is proposed. A document image is firstly parsed into a number of Component Blocks that are defined as non-adherent rectangular areas of substantial document contents. Then these Blocks are organized as a list, on which several matching operations are defined. The template image that is most similar to the querying document image is selected as the matching result. Our method can effectively make use of the local information of each page Component Block and the global information of document page layout. We investigate the method with large-scale document template image database. Our method manifests good matching accuracy and good robustness to image distortion, filled-in text, and noises.

Fuhui Long - One of the best experts on this subject based on the ideXlab platform.

  • Document image recognition based on template matching of Component Block projections
    IEEE Transactions on Pattern Analysis and Machine Intelligence, 2003
    Co-Authors: Hanchuan Peng, Fuhui Long, Zheru Chi
    Abstract:

    Document Image Recognition (DIR), a very useful technique in office automation and digital library applications, is to find the most similar template for any input document image in a prestored template document image data set. Existing methods use both local features and global layout information. In this paper, we propose a novel algorithm based on the global matching of Component Block Projections (CBP), which are the concatenated directional projection vectors of the Component Blocks of a document image. Compared to those existing methods, CBP-based template-matching methods possess two major advantages: (1) The spatial relationship among the Component Blocks of a document image is better represented, hence a very high matching accuracy can be obtained even for a large template set and seriously distorted input images; and (2) the effective matching distance of each template and the triangle inequality are proposed to significantly reduce the computational cost. Our experimental results confirm these advantages and show that the CBP-based template-matching methods are very suitable for DIR applications.

  • Document image template matching based on Component Block list
    Pattern Recognition Letters, 2001
    Co-Authors: Hanchuan Peng, Zheru Chi, Fuhui Long, Wan-chi Siu
    Abstract:

    Abstract Document image matching is the key technique for document image registration and retrieval. In this paper, a new matching method based on document Component Block list (CBL) is proposed. A document image is firstly parsed into a number of Component Blocks that are defined as non-adherent rectangular areas of substantial document contents. Then these Blocks are organized as a list, on which several matching operations are defined. The template image that is most similar to the querying document image is selected as the matching result. Our method can effectively make use of the local information of each page Component Block and the global information of document page layout. We investigate the method with large-scale document template image database. Our method manifests good matching accuracy and good robustness to image distortion, filled-in text, and noises.

Byung Cheol Song - One of the best experts on this subject based on the ideXlab platform.

  • Block adaptive inter color compensation algorithm for rgb 4 4 4 video coding
    IEEE Transactions on Circuits and Systems for Video Technology, 2008
    Co-Authors: Byung Cheol Song
    Abstract:

    RGB color space has not been regarded as a proper space from a coding point of a view. However, due to the limited visual quality of YCbCr-domain video coding for high-quality applications, RGB-domain video coding is being newly raised. Recently, several methods have been developed to reduce significant redundancy existing between RGB color planes in an RGB video coder. This paper presents a new algorithm to remove inter-color redundancy, which is based on a linear model having two parameters, i.e., offset and slope information. Those parameters of one color Component Block are derived from the other color Component Block. A common coding mode and model parameters optimized for three color Components in a macroBlock are obtained simultaneously by minimizing a given cost. Then, a residue for each color Component Block is produced using its predictor based on the linear model, and is encoded. The simulation results show that the proposed algorithm noticeably improves the coding efficiency up to over 20% in comparison with H.264 new amendment.