Image segmentation approach for realizing zoomable streaming HEVC video

Yuri Umezaki, S. Goto
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引用次数: 3

Abstract

With the popularity of mobile devices such as mobile phones and cameras, zooming and displaying an arbitrary region of interest (ROI) from a high-resolution video has gained considerable importance. In this study, we implement two methods - partial decoding and tiled encoding - for ROI-based streaming in High Efficiency Video Coding (HEVC). In partial decoding, only the ROI and dependence area are decoded; this approach reduces the calculation cost. In tiled encoding, video frames are split into a grid of tiles, each of which is encoded independently; this approach requires a compatible decoder, and it reduces the streaming bitrate and decoding calculation cost. We evaluated these two methods in terms of the decoding calculation cost, bandwidth efficiency, and video quality. Experimental results show that partial decoding reduced the decoding calculation cost by 35-55%. Tiled encoding showed optimal decoding calculation cost and bandwidth efficiency for a tile size of 128 pixels.
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实现可缩放流式HEVC视频的图像分割方法
随着移动设备(如移动电话和相机)的普及,从高分辨率视频中缩放和显示任意感兴趣区域(ROI)变得相当重要。在本研究中,我们针对高效率视讯编码(High Efficiency Video Coding, HEVC)中基于roi的串流,实现了部分解码和平铺编码两种方法。在部分解码中,只对感兴趣区域和相关区域进行解码;这种方法降低了计算成本。在平铺编码中,视频帧被分割成一个平铺网格,每个平铺网格独立编码;这种方法需要一个兼容的解码器,并且降低了流比特率和解码计算成本。我们从解码计算成本、带宽效率和视频质量三个方面对这两种方法进行了评价。实验结果表明,部分译码可使译码计算成本降低35 ~ 55%。对于128像素的平铺编码,显示出最佳的解码计算成本和带宽效率。
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