ITE Technical Report
Online ISSN : 2424-1970
Print ISSN : 1342-6893
ISSN-L : 1342-6893
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24.50
Displaying 1-9 of 9 articles from this issue
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  • [title in Japanese]
    Article type: Cover
    Pages Cover1-
    Published: September 14, 2000
    Released on J-STAGE: June 23, 2017
    DOIhttps://doi.org/10.11485/itetr.24.50.0_Cover1
    CONFERENCE PROCEEDINGS FREE ACCESS
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  • [title in Japanese]
    Article type: Index
    Pages Toc1-
    Published: September 14, 2000
    Released on J-STAGE: June 23, 2017
    DOIhttps://doi.org/10.11485/itetr.24.50.0_Toc1
    CONFERENCE PROCEEDINGS FREE ACCESS
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  • Telecentric Capturing System for Acquiring Light Ray Data of 3-D Objects
    Keisuke TAKEUCHI, Takeshi NAEMURA, Hiroshi HARASHIMA
    Article type: Article
    Session ID: NIM2000-127
    Published: September 14, 2000
    Released on J-STAGE: June 23, 2017
    DOIhttps://doi.org/10.11485/itetr.24.50.0_1
    CONFERENCE PROCEEDINGS FREE ACCESS
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    In the field of computer graphics and 3-D visual communicatins, the ray-based representation of 3-D scene/object has been examined. Since perspective projections, provided by normal lenses, are not suitable for sampling light ray data, the authors have developed a capturing system using a telecentric lens, which provides orthogonal projections of objects. This paper will discuss the implementation and the error measurement of the system. Furthermore, experimental results show the applicability of the system for acquiring light ray data as orthogonal projections and synthesizing arbitrary views.
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  • A Study of Color Image Segmentation Based on a Multi-dimensional Histogram
    Tatsuya Yamazaki
    Article type: Article
    Session ID: NIM2000-128
    Published: September 14, 2000
    Released on J-STAGE: June 23, 2017
    DOIhttps://doi.org/10.11485/itetr.24.50.0_9
    CONFERENCE PROCEEDINGS FREE ACCESS
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    A deta-driven segmentation algorithm based on a multi-dimensional histogram is proposed for color images. An image is observed as a mixture of multi-variate data, but the number of clusters in the mixture is generally unknown. The proposed algorithm determines the width of a histogram to use and then obtains the number of clusters according to the observed multivariate data. Next, the statistics for each cluster are computed, since this is a requisite for clustering all of the other elements. The proposed clustering method can be applied to various kinds of images, because it is not restricted by an image model used in model-based approaches. The effectiveness of the algorithm is evaluated by computer simulation, and the algorithm is applied to real color image clustering.
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  • A Lossless/Lossy Unified Transform Image Coding using Lossless Discrete Cosine Transform
    Shinji FUKUMA, Masahiro IWAHASHI, Chikara IMAJO, Shotaro NISHIMURA
    Article type: Article
    Session ID: NIM2000-129
    Published: September 14, 2000
    Released on J-STAGE: June 23, 2017
    DOIhttps://doi.org/10.11485/itetr.24.50.0_15
    CONFERENCE PROCEEDINGS FREE ACCESS
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    The lossless(reversible)discrete cosine transform(DCT) is a very useful transform because it can realize easily an unified lossy/lossless image coding with a compatibility with conventional scheme such as JPEG and MPEG. But on conventional transform coding based on lossless DCT, its compression performance at high-bit rate coding is poorer at high-bit rate coding and it can't ensure the quantity of the maximum error of recovered image. We propose a new transform coding based on lossless DCT in this report. Proposed method can solve the problem in conventional method.
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  • Evaluation of Lossless Wavelets based on Lossless Coding Gain
    Somchart CHOKCHAITAM, Masahiro IWAHASHI, Pavol ZAVARSKY, Noriyoshi KAM ...
    Article type: Article
    Session ID: NIM2000-130
    Published: September 14, 2000
    Released on J-STAGE: June 23, 2017
    DOIhttps://doi.org/10.11485/itetr.24.50.0_23
    CONFERENCE PROCEEDINGS FREE ACCESS
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    In this report, we propose the "lossless coding gain" as a new objective criterion to theoretically evaluate performance of the lossless wavelet transforms(LWT). Relationship between the "lossless coding gain" and existing "coding gain(lossy coding gain)" is also explicitly described. It becomes possible to theoretically evaluate lossless-lossy unified coding methods based on the LWT under the unified criterion- "lossless coding gain" and "lossy coding gain". Experiments in the report include applications of the two-dimensional(2D)LWT to some standard images and 2D AR(1)model. Effectiveness of the "optimum bit allocation" in the quantization procedure is also described.
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  • User Interface for Video Retrieval using Color Information
    Koji Wakimoto, Junshiro Kanda, Satoshi Tanaka
    Article type: Article
    Session ID: NIM2000-131
    Published: September 14, 2000
    Released on J-STAGE: June 23, 2017
    DOIhttps://doi.org/10.11485/itetr.24.50.0_31
    CONFERENCE PROCEEDINGS FREE ACCESS
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    In this report, we describe our new video retrieval interface called Color Bar Interface, which features compact color icons visualizing features of video segments and closer coupling with networked video delivery. It is confirmed that Color Bar Inteface provides users with a quick and iterative browsing function even in the environment with limited display space.
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  • [title in Japanese]
    Article type: Appendix
    Pages App1-
    Published: September 14, 2000
    Released on J-STAGE: June 23, 2017
    DOIhttps://doi.org/10.11485/itetr.24.50.0_App1
    CONFERENCE PROCEEDINGS FREE ACCESS
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  • [title in Japanese]
    Article type: Cover
    Pages Cover2-
    Published: September 14, 2000
    Released on J-STAGE: June 23, 2017
    DOIhttps://doi.org/10.11485/itetr.24.50.0_Cover2
    CONFERENCE PROCEEDINGS FREE ACCESS
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