Kansai Factors in Talking Image Effect of Digital Compressed Images

数字压缩图像的说话图像效果中的关西因素

基本信息

批准号：
09838020
负责人：
TAMURA Hiroshi
金额：
$ 1.92万
依托单位：
Kyoto Institute of Technology
依托单位国家：
日本
项目类别：
Grant-in-Aid for Scientific Research (C)
财政年份：
1997
资助国家：
日本
起止时间：
1997 至 1998
项目状态：
已结题

来源：
https://kaken.nii.ac.jp/grant/KAKENHI-PROJECT-09838020/
关键词：
Talking Image Effect inferior speech recognition method MPEG analysis on incorrect answer miss perception slow effect fast effect Kansei ISDN 感性因子劣性音声左右音声混合音声デジタル圧縮・再生

项目摘要

Talking Image Effect (TIE) of digital compressed video images was evaluated in this research. MPEG-1 format was used for video image compression and inferior speech recognition method was introduced for the evaluation.Talker's front face image and profile one were recorded and compressed with MPEG-1 encoder. Video bit rate is a parameter that is set at encoding. Encoding with higher video bit rate causes to make bigger file on the storage but it is expected to make higher quality video image. For experiment of this research, 400khs and 4000kbs were used as low video bit rate and high one respectively.Following things were clarified with this experiment.1. From the point of view of TIE, there was no significant difference between high video bit rate compression and low one. Furthermore, analysis on incorrect answer also indicated that there was no significant difference with video bit rate.2. TIE of profile face image is higher than that of front face image for labials.Because the talker's video image was recorded with a chromakey blue backdrop, each image had high spatial and time redundancy. Due to the feature of the algorithm on MPEG-1 encoding, it is easy to make a highly compressed MPEG-1 video image from above high redundant video images. Therefore there might be no difference of image effect with difference of video bit rate.In order to use more complex video image, that is a image with less redundant of time and space, a talking video image overlapped on the CG images was introduced. With using this video image, it was found that the slow effect based on motion of talker's mouth at low video bit rates was much loss than that of at high video bit rate.

在这项研究中评估了数字压缩视频图像的说话图像效应（TIE）。 MPEG-1格式用于视频图像压缩，并引入了次要语音识别方法进行评估。Talker的前面图像和轮廓图被记录并用MPEG-1编码器进行了压缩。视频比特率是编码时设置的参数。用更高的视频比特率的原因编码使存储空间更大的文件，但预计将制作更高质量的视频图像。对于这项研究的实验，将400kHs和4000kbs用作低视频比特率和高度。从领带的角度来看，高视频比特速率压缩与低率之间没有显着差异。此外，对错误答案的分析还表明，视频比特率没有显着差异。2。轮廓面部图像的图像高于Labial的前面图像的图像。因为说话者的视频图像是用Chromakey Blue背景录制的，因此每个图像都具有很高的空间和时间冗余。由于该算法在MPEG-1编码上的特征，因此很容易从上面的高冗余视频图像中制作高度压缩的MPEG-1视频图像。因此，图像效应与视频比特率的差异可能没有差异。为了使用更复杂的视频图像，即时间和空间冗余的图像，引入了CG图像上的会话视频图像。通过使用此视频图像，发现基于低视频比特率的Talker嘴的运动的缓慢效果比以高视频比特率的损失了。