Compressed Video Processing for Cut Detection
Compressed Video Processing for Cut Detection
复制标题
用于剪切检测的压缩视频处理
DOI：
10.1049/ip-vis:19960778
复制
发表时间：
1996
影响因子：
24.7
通讯作者：
I. Sethi
中科院分区：
文献类型：
--
作者：
Nilesh V. Patel;I. Sethi
视频数据库中具有挑战性的问题之一是视频信息的组织。将视频分割成多个剪辑并表征每个剪辑已被建议作为组织视频信息的一种机制。这种方法需要一种合适的方法来自动定位剪切点（视频中连续摄像机镜头之间的边界）。几种现有技术使用未压缩视频解决了这个问题。由于视频越来越多地以压缩形式捕获、移动和存储，因此需要直接在压缩视频中检测镜头边界。作者解决了这个问题，并展示了 MPEG 压缩视频中的某些特征提取步骤，这些步骤允许实现大多数为 MPEG 视频流的未压缩视频开发的现有剪切检测方法。他们还通过将剪切检测问题视为统计假设检验问题来检查剪切检测的三个测试的性能。正如实验结果所示，统计假设检验方法可以快速准确地检测视频剪辑。
One of the challenging problems in video databases is the organisation of video information. Segmenting a video into a number of clips and characterising each clip has been suggested as one mechanism for organising video information. This approach requires a suitable method to automatically locate cut points (boundaries between consecutive camera shots in a video). Several existing techniques solve this problem using uncompressed video. Since video is increasingly being captured, moved, and stored in compressed form, there is a need for detecting shot boundaries directly in compressed video. The authors address this issue and show certain feature extraction steps in MPEG compressed video that allow the implementation of most of the existing cut detection methods developed for uncompressed video for MPEG video stream. They also examine the performance of three tests for cut detection by viewing the problem of cut detection as a statistical hypothesis testing problem. As the experimental results indicate, the statistical hypothesis testing approach permits fast and accurate detection of video cuts.