The selecting mechanism of variation and reservation,the gradual change, cumulate,continuality,and the nonlinear chanciness in the evolutionism can all be used to explain the development of technology.

生物進(jìn)化中變異與被保留的選擇機(jī)制，漸進(jìn)毛片网站在线免费播放、累積和延續(xù)性美女欧美精品公司，非線性決定的偶然性等等800avzaixian热久久，都可用來說明技術(shù)的演變a片乱伦网站。

Uniformity or the lack thereof is the gradual change of luminance and/or chrominance across the display.

同樣或者其缺乏是逐漸亮度的變化和/或穿過展示的chrominance轮奸视频网址。

It is the first important step in video analysis and will directly affects the effectiveness of indexing Shot boundary detection is one of our major research interests and we will tackle the following existing problems the ambiguity between gradual change and camera motion, the discontinuity during gradual change, false detection caused by illumination variation and flashlight, automatic threshold selection Firstly, we discuss shot boundary detection in non-compressed domain In chapter 2, we compare some of the commonly used detection methods which are based on frame difference and point out that single feature will not generate good results As a conclusion, we use fuzzy logic to combine multiple features Presently, most frame difference based shot boundary detection algorithms rely on threshold and hence the selection of such thresholds will greatly affect the performance of boundary detection We propose a membership function to define frame difference and calculate the membership with self adaptation according to the statistic distribution of frame differences to satisfy different type of video clips Experiments show that the proposed fuzzy shot boundary detection algorithm can be used with different video types and has a high detection precision and recall In chapter 3, we discuss model-based shot boundary detection algorithms regarding chromatic and spatial editing effects such as fade-in, fade-out, dissolve and wipe Various parameters are proposed to better describe the characteristics of each editing type.

鏡頭邊界的檢測是把視頻自動地分割為一個個鏡頭，作為基本的索引單元一区二区中文字幕aV在线，因此它是視頻分析重要的第一步，直接影響到視頻檢索的成敗亚洲三级黄片啊啊啊啊啊啊啊啊啊。鏡頭邊界的檢測是本文研究的重點(diǎn)之一Av无码一级A片在线播放。目前鏡頭邊界檢測算法主要存在以下問題：漸變與鏡頭運(yùn)動難以區(qū)別；漸變過程中的不連續(xù)與停頓国产+欧美91、光照條件的變化及閃光燈等特殊情況會引起誤檢測欧美色图亚洲一区；自動選擇閾值比較困難等韩国免费黄色网址。本文首先針對非壓縮域視頻進(jìn)行了鏡頭邊界檢測的研究。在第二章中我們采用了比較流行的基于幀間差的方法18禁无码久久精品中文字幕乱码。在比較各種幀間差計算方法的基礎(chǔ)上囗欧美特婬的婬乱视频，指出使用單一的特征難以取得很好的檢測效果，提出用模糊邏輯綜合使用各種特征黄色网站在线观看的。目前大多數(shù)基于幀間差的鏡頭邊界檢測算法都采用閾值法進(jìn)行鏡頭轉(zhuǎn)換的判別色色日韩欧美网站。閾值選擇的誤差對檢測性能有較大的影響，本文提出用隸屬度函數(shù)定義幀間差較大日韩精品国语在线观看视频免费、中等較大和較小等概念一级A片高潮用力啊，并根據(jù)幀間差的統(tǒng)計分布自適應(yīng)地確定隸屬度，以適應(yīng)不同類型的視頻片斷又大又粗又长的黄色视频。實(shí)驗(yàn)結(jié)果表明這種基于糊邏輯的鏡頭邊界檢測算法可以適應(yīng)不同的視頻亚洲日韩久久久精品2021，并具有較高的檢測精度和檢出率。在第三章中采用基于模型的方法進(jìn)行鏡頭漸變的檢測欧洲黄色视频免费，研究了淡入／淡出日日夜人人操人人干福利、慢轉(zhuǎn)換和掃換的模型。