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In this year, we modified the image retrieval scheme by using "GAMON" or Videoprint and investigated its application from the viewpoint of building conventional TV broadcasted content retrieval system connected via network

今年，我们使用“GAMON”或Videoprint修改了图像检索方案，并从构建通过网络连接的传统电视广播内容检索系统的角度研究了其应用

基本信息

批准号：
11450151
负责人：
TOMINAGA Hideyoshi
金额：
$ 9.54万
依托单位：
Waseda University
依托单位国家：
日本
项目类别：
Grant-in-Aid for Scientific Research (B)
财政年份：
1999
资助国家：
日本
起止时间：
1999 至 2000
项目状态：
已结题

来源：
https://kaken.nii.ac.jp/en/grant/KAKENHI-PROJECT-11450151/
关键词：
Video Retrieval Video Finger print Video Archive System Video Indexing 動画像同定 MPEG DCT 動画像特徴 CM送出確認

项目摘要

1. Modification of a feature extraction method to improve its performance : Firstly, in the retrieval method by using "GAMON", we proposed a hierarchical retrieval method, targeted to retrieve the requested video quickly and accurately from the archived video contents in large storage. In the proposed method, one-dimensional DCT operation to a temporal sequence of average color value per frame is executed with quantization of coefficients and moving picture's feature is finally extracted as its lower frequency components. Using this feature as "GAMON", quick and accurate image retrieval becomes possible. As one of experimental results, image retrieval of 34 sequences(TV ads film : each 15 seconds) out of 24-hours-TV content archive, are executed within 3 minutes. Additionally, we evaluated our modified system's performance through previous simulation experiments of image retrieval. As a result, modified system achieved remarkable performance, namely 13 times faster compared to our previous system and 20,000 times faster compared to sequence's time length.2. Application study on conventional TV broadcasted content retrieval system : We assumed a video content distribution system via network with large video content archive. Conventional TV(analog) contents' quality is easily influenced by their receiving environment and even from the same source, different features can be extracted from contents with ghost, for example. Therefore we have intentionally prepared an archive with some contents including ghosts, designed an image retrieval system by using "GAMON" for MPEG-2 images and implemented it. Through simulation experiments, very high accurate image retrieval are done with results of 0 surplus detection and 0 failure detection.

1.修改特征提取方法以提高其性能：首先，在使用“GAMON”的检索方法中，我们提出了一种分层检索方法，旨在从大存储中的存档视频内容中快速准确地检索所请求的视频。在所提出的方法中，通过系数量化对每帧平均颜色值的时间序列执行一维DCT运算，并且最终提取运动图像的特征作为其低频分量。使用此功能作为“GAMON”，快速且准确的图像检索成为可能。作为实验结果之一，对 24 小时电视内容档案中的 34 个序列（电视广告影片：每 15 秒）进行图像检索，在 3 分钟内执行。此外，我们通过之前的图像检索模拟实验评估了修改后的系统的性能。结果，修改后的系统取得了显着的性能，即比我们以前的系统快了13倍，比序列的时间长度快了20,000倍。2．传统电视广播内容检索系统的应用研究：我们假设一个通过网络的视频内容分发系统，具有大型视频内容档案。传统电视（模拟）内容的质量很容易受到接收环境的影响，即使来自同一来源，也可以从具有重影的内容中提取不同的特征。因此我们特意准备了一个包含鬼魂在内的一些内容的档案，利用“GAMON”针对MPEG-2图像设计了一个图像检索系统并实现了它。通过仿真实验，实现了非常高精度的图像检索，达到了0剩余检测、0失败检测的结果。