In multicast congestion control, the receiver of the worst congestion level is selected as the representative and transmission rate of the sender is adjusted to TCP throughput of the representative. This approach has high scalability and TCP friendliness. However, when this approach is applied in wireless communications, wireless-caused packet loss will cause to frequent change of the representative. This is because degradation of wireless channel quality causes bursty packet loss at a corresponding receiver. Fading, one of main reasons of wireless channel degradation, is expected to be recovered after short time period, which leads to frequent change of the representative. This frequent change of representative makes the sender adjust its transmission rate to the tentative worst receiver, which brings severe performance degradation to wireless multicast. We call this technical problem, the wireless-caused representative selection fluctuation problem. Wireless-caused representative selection fluctuation problem is one of scalability problems in the wireless multicast, because this problem remarkably happens for large scale multicast. We propose two possible solutions for this problem, an end-to-end approach and a network support approach. Performance evaluation in various situation show that an end-to-end approach is sensitive for its inferring error but a network support approach shows good performance improvement.

This paper describes a recognition method of Japanese single sounds for application to lip reading. Related researches investigated only five or ten sounds. In this paper, experiments were conducted for 45 Japanese single sounds by classifying them into five vowels category, ten consonants category, and 45 sounds category. We obtained recognition rates of 94.7, 30.9 and 30.0% with trajectory feature.

This paper proposes a datagram delivery (class D service) architecture in an ATM-Internet, which is the network interconnecting ATM-LANs through the IWUs, Inter-Working Unit. We can provide a fast datagram delivery system through the following techniques. The datagram delivery to the destination terminal is performed by the datagram delivery server, so called CLS, which is located in the ATM-LAN where the destination terminal belongs to. Each CLS only manages the addresses for the terminals belonging to the corresponding ATM-LAN. The cells belonging to a certain datagram are transferred through a single (seamless) ATM connection from the source terminal to the CLS in the ATM-LAN where the destination terminal belongs to. The source terminal only resolves the access point address corresponding to the ATM-LAN where the destination terminal belongs to, when it submits the cells to the network to transfer the datagram to the corresponding destination terminal. The proposed datagram delivery architecture can be applied to the ATM-LAN system based on VPI routing architecture, easily. The number of the required ATM connections so as to provide datagram delivery through the proposed architecture is less than 1.0% of the ATM connections that the ATM-Internet can provide. Also, the required address space at UNI to provide datagram delivery are less than 1.0% of the UNI address space which is available to be used as an ATM connection identifier.

Estimating a proper location of vanishing point from a single road image without any prior known camera parameters is a challenging problem due to limited information from the input image. Most edge-based methods for vanishing point detection only work well for structured roads with clear painted lines or distinct boundaries, while they usually fail in unstructured roads lacking sharply defined, smoothly curving edges. In order to overcome this limitation, texture-based methods for vanishing point detection have been widely published. Authors of these methods often calculate the texture orientation at every pixel of the road image by using directional filter banks such as Gabor wavelet filter, and seek the vanishing point by a voting scheme. A local adaptive soft voting method for obtaining the vanishing point was proposed in a previous study. Although this method is more effective and faster than prior texture-based methods, the associated computational cost is still high due to a large number of scanning pixels. On the other hand, this method leads to an estimation error in some images, in which the radius of the proposed half-disk voting region is not large enough. The goal of this paper is to reduce the computational cost and improve the performance of the algorithm. Therefore, we propose a novel local soft voting method, in which the number of scanning pixels is much reduced, and a new vanishing point candidate region is introduced to improve the estimation accuracy. The proposed method has been implemented and tested on 1000 road images which contain large variations in color, texture, lighting condition and surrounding environment. The experimental results demonstrate that this new voting method is both efficient and effective in detecting the vanishing point from a single road image and requires much less computational cost when compared to the previous voting method.

The cell structure of surface discharge ACPDPs with a long gap between the sustaining electrodes achieves high luminous efficiency. However, the long gap cell structure causes high firing voltage and thus makes driving more difficult than with the conventional gap cell structure. The rise in firing voltage in the long gap cell structure could not be explained by Paschen's scaling law. We derived a new governing equation for firing voltage, involving the influence of a non-uniform electric field, to investigate this deviation from Paschen's law. From the calculated results we found that changing the gap length corresponds to the change in the degree of distortion of the electric field between the sustaining electrodes.

This paper analyses the features required to efficiently recognize five Japanese vowels for lip-reading. Various features, such as shape and radius, are calculated from the lip region and fed to the k Nearest Neighbor method. We calculated 15 feature sets and found that the feature set including the area and aspect ratio of the mouth cavity is effective for Japanese vowel recognition.

This paper proposes a vanishing point-based road detection method. Firstly, a vanishing point is detected using a texture-based method proposed in a recent study. After that, a histogram is generated for detecting two road borders. The road area is defined as the region between the two road borders and below the vanishing point. The experimental results demonstrate that our method performs well in general road images.

This paper describes technological and operational issues of an image-art-on-demand system, which provides visitors with high-definition images of fine art in a virtual gallery. The system is presented as a typical example of multimedia information service systems on IP over ATM network. The high-definition images of fine arts from a database are interactively selected in a virtual gallery which is generated by an advanced computer graphics (CG) workstation. The generated images of the virtual gallery are transmitted by MPEG-2 over TCP/IP on ATM at 30 frames per second. This system was opened from January 1996 to March 1997 as one project of NTT's joint utilization tests of multimedia communications. As far as we know, this system is the first real-time image-art-on-demand system using MPEG-2 on IP over ATM-WAN to be exhibited to the general public.