The Journal of The Institute of Image Information and Television Engineers
Online ISSN : 1881-6908
Print ISSN : 1342-6907
ISSN-L : 1342-6907
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Volume 61, Issue 1
Displaying 1-17 of 17 articles from this issue
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  • A Novel Millimeter-Wave Receiver Using Self-heterodyne Detection for a Digital Broadcasting Radio on Fiber System
    Tsuyoshi Nakatogawa, Mikio Maeda, Kimiyuki Oyamada
    2006 Volume 61 Issue 1 Pages 59-66
    Published: January 01, 2007
    Released on J-STAGE: May 20, 2009
    DOIhttps://doi.org/10.3169/itej.61.59
    JOURNAL FREE ACCESS
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    Radio on Fiber (ROF) is an effective method for providing multi-channel digital TV services to subscriber's premises where it is difficult to install optical fibers or coaxial cables.In this paper, we propose a novel millimeter-wave receiver for subscribers that uses self-heterodyne detection.The receiver separates the carrier and the sideband and eliminates thermal noise close to the carrier.It can improve sensitivity by 10 dB compared with a conventional self-heterodyne receiver. A wireless transmission experiment proved the practicality of the receiver and the ROF system.
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  • Developement of Adaptive Array for ISDB-T
    Filed Experimental Result of Co-Channel Interference Cancellation
    Tomoaki Takeuchi, Yoshikazu Narikiyo, Yoshitaka Ando, Hiroyuki Hamazum ...
    2006 Volume 61 Issue 1 Pages 67-75
    Published: January 01, 2007
    Released on J-STAGE: May 20, 2009
    DOIhttps://doi.org/10.3169/itej.61.67
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    We investigated co-channel interference cancellation in a digital terrestrial broadcast environment. The experiments were performed using a prototype MMSE adaptive array at Telecommunications Advancement Organization of Japan relay stations. We evaluated the cancellation effect for some interference conditions. We also investigated the relationship between the theoretical cancellation effect and the experimental one. The results showed the possibility of the practical use of adaptive array in digital broadcast-wave relay stations.
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  • Multiple-Plane Detection based on Homography and Projected Line Detection for use in a Projector-Camera System
    Jun Shimamura, Kenichi Arakawa, Hiroyuki Arai, Takayuki Yasuno
    2006 Volume 61 Issue 1 Pages 76-84
    Published: January 01, 2007
    Released on J-STAGE: May 20, 2009
    DOIhttps://doi.org/10.3169/itej.61.76
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  • Interactive Mesh Deformation with Hard Constraints
    Yasuhiro Yoshioka, Hiroshi Masuda, Yoshiyuki Furukawa
    2006 Volume 61 Issue 1 Pages 85-90
    Published: January 01, 2007
    Released on J-STAGE: May 20, 2009
    DOIhttps://doi.org/10.3169/itej.61.85
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    Interactive mesh editing techniques typically encode geometric shapes using discrete differential equations and approximately solve them using the least squares method. However, these techniques fail to precisely preserve user-defined constraints. In our method, user-defined constraints, such as positional constraints, are treated as hard constraints, and then the combination of hard and soft constraints is converted into a typical least-squares system using QR decomposition. Our method stably and efficiently calculates vertex positions that preserve differential properties. A well-known problem with hard constraints is over-constraints. If over-constraints are involved, they may cause the solver to halt the computation. We show how our framework resolves over-constrained situations, which include redundant and conflicting constraints.
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  • Video Completion with Spatio-Temporal Features for Video Caption Removal
    Ryota Shoji, Naoko Nitta, Noboru Babaguchi
    2006 Volume 61 Issue 1 Pages 91-97
    Published: January 01, 2007
    Released on J-STAGE: May 20, 2009
    DOIhttps://doi.org/10.3169/itej.61.91
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    We propose a video completion method for automatically removing unnecessary objects from video. Using this method, a user selects an object from a frame on our interface, and the corresponding objects are extracted from all frames of the video. Based on estimated camera/object motions, visually plausible video completion with spatio-temporal features is achieved by repeatedly using the temporal correlation between adjacent frames and the spatial correlation between adjacent pixels in a frame. Experiments were conducted that targeted and removed video captions to evaluate processing time and visual plausibility.
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