Goki Yasuda

In-loop filter using block-based filter control for video coding

In this paper, a method of improving coding efficiency is proposed by using the Wiener filter as an in-loop filter. The Wiener filter can minimize the mean square error between the input image and the decoded image. However, errors of some pixels increase by filtering process. Since the filtered pixels are used for motion-compensated prediction, these errors are propagated to the subsequent images. The proposed method divides the decoded image into some fixed blocks, and decides whether to apply the filter for each block adaptively. As a result, by preventing the increase in errors after the filtering process, the coding efficiency can be improved. Experimental results show that the proposed method achieves bitrate reduction of up to 33.9% in Baseline Profile and up to 33.0 % in High Profile at the same PSNR compared to H.264.

Implementation and optimization of software depth estimation for arm

3D imaging capable devices have been available on the market for a few years now and the availability of 3D contents is also picking up. However, 3D contents available for viewing is not growing fast enough to meet the demand. To compensate for such a problem, most 3D imaging devices are equipped with 2D to 3D conversion function. Also, common 3D contents available are mostly produced with 2 view points which poses a problem for autostereoscopic devices that is capable of displaying multiple view points. In the absence of multiview 3D contents, to produce natural viewing experience on such device, depth estimation is an essential technology in order to create more parallax images from source images. In this paper, we present the implementation of Toshibas software depth estimation process on ARM processor which allows realtime processing on embedded devices such as TVs, mobile phones and tablet computers adopting stereoscopic or autostereoscopic 3D technology.

Implementation and Optimization of software 2Dto3D conversion for ARM

3D imaging capable devices have been available on the market for a few years now but the number of 3D contents available for viewing is not growing fast enough to meet the demand. To compensate for such a problem, most 3D imaging devices are equipped with a 2Dto3D conversion function. In 2Dto3D conversion, depth estimation is essential in order to create pseudo 3D images. Often, such conversion involves complex computations and is difficult to process in a real-time manner. In this paper, we present the implementation of Toshibas software 2Dto3D conversion solution, in particular, the depth estimation process on ARM processor. This could potentially allow real-time processing on embedded devices such as TVs, mobile phones and tablet computers.