HEVC码流中场景变化检测分析

Yumi Eom, Sang-il Park, Sunggeun Yoo, J. Choi, Sukhee Cho
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引用次数: 6

摘要

基于内容的视频分析、索引、搜索和编辑需要一种改进的场景变化检测方法。近年来,许多研究人员提出了各种SCD技术。然而,在各种摄像机运动和镜头转换的视频环境中,很难检测到场景的变化。此外,随着4K (3820×2160)以上分辨率的超高清(UHD)视频的大量涌入,数据量也成为了一个问题。传统的SCD方法需要太多的时间来运行超高清视频。本文针对采用高级编解码程序编码的超高清视频,提出了四种不同的SCD方法。然后对传统的SCD方法进行了分析。并利用不同结构的高级视频编解码器对这些用于超高清视频流的SCD实验技术进行了测试。最后,通过实验对各技术的性能进行了评价。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
An analysis of scene change detection in HEVC bitstream
An improved method of scene change detection (SCD) is required for content-based video analysis, indexing, searching and editing. Many researchers have suggested various SCD techniques in recent years. However, it is difficult to detect a scene change in the video context with a variety of camera movements and shot transitions. Moreover, data volume becomes an issue in the influx of ultra-high definition (UHD) video with the resolution of 4K (3820×2160) or larger formats. The traditional SCD approach takes too much time to run with UHD video. In this paper four different SCD methods are suggested for UHD video which is coded with advanced codec programs. Then, the analysis of traditional SCD methods is presented. And these experimental SCD techniques for UHD video bit streams are tested with the different structures of advanced video codecs. Finally, the experiments are conducted to evaluate the performances of the techniques.
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