共查询到19条相似文献,搜索用时 156 毫秒
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镜头是视频分析和索引的基础,但是自动的镜头分割,尤其是渐变切换的检测还是一个很有挑战性的课题。本文提出了一种利用直方图与模板匹配相结合来进行视频镜头切变检测的算法和一种利用图象灰度级平均(MGL)来进行渐变检测的算法,该渐变检测算法能有效区分摄象机镜头的运动和渐变。实际测试证明,利用本文算法进行视频镜头检测
能取得比较好的效果。 相似文献
能取得比较好的效果。 相似文献
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针对突变和渐变的特点,实现了一种基于帧差和非相邻帧差的自适应镜头检测方法。方法通过计算相邻帧差有效地检测突变镜头,通过计算非相邻帧差实现对渐变镜头的有效检测,二者结合可检测出几乎所有的突变和渐变镜头,获得了良好的综合检测效果。该方法不用设全局阈值,适应性强且计算量小,实验结果表明了方法的通用性和有效性。 相似文献
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一种基于模型的扫换检测方法 总被引:1,自引:0,他引:1
视频自动分割是实现视频数据库检索必不可少的一个过程,其基础是镜头边界检测.当前已有的算法能够较准确地检测出镜头突变,但对于镜头的渐变则常常会漏检,这是由于镜头渐变时帧间差没有一个明显的峰值,因而其检测比突变检测要困难得多.扫换是一种常用的视频空间编辑手段,用于实现多种镜头变化.通过分析各种类型的扫换,提出了一种新的基于视频空间编辑模型的扫换检测算法,其性能优于Alattar提出的基于统计特征的算法.对用AdobePremiere5.1生成的各种扫换视频进行检测.实验结果表明,这种扫换检测算法能够较好地适应 相似文献
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针对在视频同一镜头中运动因素引起的帧间差值波动与镜头渐变过程的帧间差值波动情况相似可能对镜头渐变产生误检的问题,利用镜头渐变是从一个镜头转换到一个新的镜头的本质特征,通过分析帧间差值曲线,提出了省略帧间差值波动,直接计算帧间差值波动前后两帧差值的视频镜头渐变检测算法.利用该算法对若干视频进行实验,并与双阈值累计帧差算法进行比较,实验结果表明了该算法在视频镜头渐变检测中的有效性. 相似文献
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镜头边界检测在基于内容的视频检索中起着关键的作用,而如何识别渐变镜头是镜头检测中的难点。根据理想视频模型和基于镜头相关性的视频模型间的误差提出了一种溶解镜头检测方法,该方法首先根据溶解模型方差曲线的一次导数和二次导数特征来提取溶解变化的候选区间,然后根据溶解镜头模型误差来验证候选区间以确定最终的溶解变化区间。试验表明:该方法可以有效、准确地检测到溶解镜头。 相似文献
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为有效避免闪光和字幕对镜头检测造成的影响,提出了一种基于颜色空间的镜头边界检测方法.通过分析帧间亮度差在镜头边界处的特点,加入有效的判断方法,实现镜头的突变和渐变检测. 相似文献
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《电子制作.电脑维护与应用》2017,(11)
视频序列的场景分割也称镜头变化检测,是视频检索及分析的关键技术之一。连续视频场景一般分为突变、渐变或镜头移动、局部运动三类,其中渐变是最难检测的。本文在工程化应用和传统检测算法的基础上,提出基于RANSAC算法估计摄像头移动模型参数的方法来区分渐变和摄像头移动,该改进算法满足低计算机资源消耗要求,具有实际工程应用价值。 相似文献
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This paper proposes a novel scene analysis algorithm based on three-dimensional discrete wavelet transform (3D DWT). Based
on the correlation among the adjacent frames, video frames can be considered as four categories: abrupt scene transition,
motion scene, gradual scene transition and static scene, which are ranked from low to high according to the strength of the
correlation. Through the investigation of the particular temporal and spatial distribution of each category, the correlation
among adjacent frames could be described by the 3D DWT coefficients related statistical features, which are the energy of
high-frequency coefficients difference, the sum of high-frequency coefficients magnitudes and the difference of low-frequency
coefficients magnitudes. The energy of high-frequency coefficients difference is first used to detect the abrupt scene transition
including cut and flashlight. Then all the three features are input to SVM for the purpose of analyzing the residual scenes
and detecting the gradual scene transition, such as dissolve and fade. Experimental results show the method to be effective
not only for the abrupt scene transition detection, but also for the gradual scene transition detection. 相似文献
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Statistical sequential analysis for real-time video scene change detection on compressed multimedia bitstream 总被引:1,自引:0,他引:1
The increased availability and usage of multimedia information have created a critical need for efficient multimedia processing algorithms. These algorithms must offer capabilities related to browsing, indexing, and retrieval of relevant data. A crucial step in multimedia processing is that of reliable video segmentation into visually coherent video shots through scene change detection. Video segmentation enables subsequent processing operations on video shots, such as video indexing, semantic representation, or tracking of selected video information. Since video sequences generally contain both abrupt and gradual scene changes, video segmentation algorithms must be able to detect a large variety of changes. While existing algorithms perform relatively well for detecting abrupt transitions (video cuts), reliable detection of gradual changes is much more difficult. A novel one-pass, real-time approach to video scene change detection based on statistical sequential analysis and operating on a compressed multimedia bitstream is proposed. Our approach models video sequences as stochastic processes, with scene changes being reflected by changes in the characteristics (parameters) of the process. Statistical sequential analysis is used to provide an unified framework for the detection of both abrupt and gradual scene changes. 相似文献
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An Accumulation Algorithm for Video Shot Boundary Detection 总被引:5,自引:0,他引:5
In this paper, an accumulation algorithm for video shot detection is introduced. The algorithm considers the properties of gradual transition. In a gradual transition, there is only a small difference between consecutive frames. The algorithm remembers the differences between consecutive frames and accumulates them. When the accumulation difference exceeds a threshold, an occurrence of shot transition is declared. Our main contributions are to introduce a frame C that remembers the changes from the beginning of a shot and detect the different types of boundaries (cut, fade, dissolve) at one process. We tested our algorithm with clips extracted from MPEG VCDs. The algorithm showed a good performance in detecting the gradual transitions as well as the abrupt cuts and has the ability to identify different types of boundaries. 相似文献
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为了在进行视频分段时,对一些复杂的和奇异的Wipe转换模式进行检测,得出了一种基于模式模板的MPEG压缩视频序列的划变转换检测方法。该方法是在刻画划变转换时,用一种视频帧间图象特征变化信息的模式模板;并用一个基于该模式模板的算法,来检测包括各种奇异转换在内的划变转换,同时为了消除运动干扰,还引入了Hough变换。实验结果显示,该方法能精确检测划变转换区的位置和识别相应的转换模式,另外,无论是已存在的或将来出现的划变转换模式,该算法都同样适用。 相似文献
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镜头是视频分析和检索的基本单元,根据两个相续镜头处视频内容的变化情况,可以把镜头边界分为突变和渐变两种。镜头探测的方法很多,但大多都是针对某一类镜头准确性很高。文中,介绍了一种有效的镜头探测方法,此方法综合利用双直方图比较法和MPEG视频流中B帧宏块的信息来探测镜头边界,对不同类型的镜头,都取得了很高的准确性。通过对十几段不同类型MPEG_I视频节目进行试验,效果相当理想。 相似文献
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针对视频镜头边界检测的高时耗问题,提出了一种基于视频预处理的视频镜头边界检测(SBD)改进算法。通过使用自适应的阈值选择可能包含镜头边界的候选段,候选段内首帧与其余各帧进行相似度对比检测出镜头起始帧,并立即检测切变。若候选段中不包含切变,则进行渐变检测。调整候选段以保证镜头边界位于同一段内,段内其余各帧与起始帧进行相似度对比确定镜头结束帧。实验结果表明,所提算法镜头边界识别准确率能够达到90%以上,且与倒三角模式匹配方法相比能够节约时间15.6%~30.2%;与对渐变和切变分别检测的算法相比,该算法能够在满足识别率的基础上提升检测速度。 相似文献
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本文提出了一种基于综合相似度的二次差分法,综合考虑小波分析和统计量等多种方法对镜头进行检测。在镜头突变检测中考虑了相邻帧的二次差分法;同时,在渐变检测中引入了自适应阈值法,考虑了非相邻帧的二次差分法,避免了人为因素,克服了其他方法仅适用于一类视频序列或几类视频序列的限制,因而具有较好的鲁棒性。实际视频数数据的实验结果表明,本文所用方法对镜头边界检测具有很好的效果。 相似文献
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提出一种改进的基于亮度直方图帧差的自适应镜头分割算法,该方法包括突变镜头的检测过程和渐变镜头的渐变过程,这两个处理过程由相邻两帧的亮度直方图帧差与自适应阈值的比较来自动进行选择,在突变镜头的检测过程中加入隔帧帧差法检测闪光灯,渐变镜头的检测采用基于帧间差方差的方法。实验结果表明,改进算法具有很好的检测效果,且计算复杂度低,易于实现。 相似文献