Description: 国内人写的关于mpeg视频流的视频分割综述,很经典,不喜欢看英文的读者可能会喜欢-domestic wrote on the mpeg video streaming on the video segmentation, classic, do not like to watch the English readers might like Platform: |
Size: 176748 |
Author:liu yang |
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Description: 一篇介绍视频分割算法的文章,基于决策树的MPEG视频镜头分割算法-introduced a video segmentation algorithm article, the decision tree based on MPEG Video shot segmentation algorithm Platform: |
Size: 170790 |
Author:Zhou Yaoxin |
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Description: 是基于MPEG-4的分层编码,其采用了面向对象的技术,通过分割视频中对象实现根据带宽分层传输码流技术-is based on the MPEG-4 coding stratification, using the object-oriented technology, and video segmentation based Object layered transmission bandwidth Bitstream technology Platform: |
Size: 388633 |
Author:张静 |
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Description: 是基于MPEG-4的分层编码,其采用了面向对象的技术,通过分割视频中对象实现根据带宽分层传输码流技术-is based on the MPEG-4 coding stratification, using the object-oriented technology, and video segmentation based Object layered transmission bandwidth Bitstream technology Platform: |
Size: 388096 |
Author:张静 |
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Description: 国内人写的关于mpeg视频流的视频分割综述,很经典,不喜欢看英文的读者可能会喜欢-domestic wrote on the mpeg video streaming on the video segmentation, classic, do not like to watch the English readers might like Platform: |
Size: 176128 |
Author:liu yang |
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Description: 一篇介绍视频分割算法的文章,基于决策树的MPEG视频镜头分割算法-introduced a video segmentation algorithm article, the decision tree based on MPEG Video shot segmentation algorithm Platform: |
Size: 171008 |
Author:Zhou Yaoxin |
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Description: 。该文介绍了目前镜头分割的常用方法,包括灰度分割法、边缘分割法、彩色直方图分割法、MPEG视频的分割方法、
块匹配镜头分割方法、统计判决镜头分割方法、基于聚类的镜头分割方法、镜头渐变的检测-. This paper describes the current commonly used method of shot segmentation, including gray-scale segmentation, edge segmentation, color histogram segmentation, MPEG video segmentation method, block-matching method of shot segmentation, statistical decision shot segmentation method, based on clustering of the lens Segmentation Method, Gradient Lens Detection Platform: |
Size: 197632 |
Author:zhang |
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Description: 一种MPEG 压缩域上的快速场景分割算法的介绍及相关知识的详细解释-MPEG compressed domain of a quick scene segmentation algorithm on a presentation and a detailed explanation of knowledge Platform: |
Size: 224256 |
Author:王凡 |
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Description: This project describes the work done on the development of an audio segmentation and classification system. Many existing works on audio classification deal with the problem of classifying known homogeneous audio segments. In this work, audio recordings are divided into acoustically similar regions and classified into basic audio types such as speech, music or silence. Audio features used in this project include Mel Frequency Cepstral Coefficients (MFCC), Zero Crossing Rate and Short Term Energy (STE). These features were extracted from audio files that were stored in a WAV format. Possible use of features, which are extracted directly from MPEG audio files, is also considered. Statistical based methods are used to segment and classify audio signals using these features. The classification methods used include the General Mixture Model (GMM) and the k- Nearest Neighbour (k-NN) algorithms. It is shown that the system implemented achieves an accuracy rate of more than 95 for discrete audio classification.-This project describes the work done on the development of an audio segmentation and classification system. Many existing works on audio classification deal with the problem of classifying known homogeneous audio segments. In this work, audio recordings are divided into acoustically similar regions and classified into basic audio types such as speech, music or silence. Audio features used in this project include Mel Frequency Cepstral Coefficients (MFCC), Zero Crossing Rate and Short Term Energy (STE). These features were extracted from audio files that were stored in a WAV format. Possible use of features, which are extracted directly from MPEG audio files, is also considered. Statistical based methods are used to segment and classify audio signals using these features. The classification methods used include the General Mixture Model (GMM) and the k- Nearest Neighbour (k-NN) algorithms. It is shown that the system implemented achieves an accuracy rate of more than 95 for discrete audio classification. Platform: |
Size: 653312 |
Author:kvga |
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Description: the folder gives information about mpeg video segmentation. input video is read and it is segmented Platform: |
Size: 1868800 |
Author:padmapriya |
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