相鄰幀 的英文怎麼說

中文拼音 [xiānglīnzhèng]
相鄰幀 英文
consecutive frame
  • 相 : 相Ⅰ名詞1 （相貌; 外貌） looks; appearance 2 （坐、立等的姿態） bearing; posture 3 [物理學] （相位...
  • 幀 : 量詞（幅, 用於字畫）
  • 相鄰 : adjoin; adjoining; adjacent
  1. An algorithm for detecting moving ir point target in complex background is proposed, which is based on the reverse phase feature of neighborhood ( rpfn ) of target in difference between neighbor frame images that two positions of the target in the difference image are near and the gray values of them are close to in absolute value but with inverse sign. firstly, pairs of points with rpfn are detected in the difference image between neighbor frame images, with which a virtual vector graph is made, and then the moving point target can be detected by the vectors ' sequence cumulated in vector graphs. in addition, a theorem for the convergence of detection of target contrail by this algorithm is given and proved so as to afford a solid guarantee for practical applications of the algorithm proposed in this paper. finally, some simulation results with 1000 frames from 10 typical images in complex background show that moving point targets with snr not lower than 1. 5 can be detected effectively

    基於運動點目標在鄰幀差分圖像中所具有的近鄰反相特徵，即運動點目標的兩個位置相鄰近、灰度值一正一負，提出一種在復雜背景下，基於紅外序列圖像的運動點目標檢測演算法.本演算法利用該特徵在鄰幀差分圖像中檢測反相點對，進而構造反相點對矢量圖，最後依據累積反相點對矢量圖中多矢量首位相接的連續性檢測出運動的點目標.文中給出並證明應用本演算法能以概率1檢測到運動點目標的收斂性定理.對典型復雜背景下10幅1000幀圖像的模擬結果表明，當信噪比大於或等於1 . 5時，可以有效檢測出運動點目標
  2. However, most of the current wireless networks still work in low bandwidths, and mobile devices still suffer from weak computational power, short battery lifetime and limited display capability. therefore, this thesis deals with developing a very low bit - rate bi - level video coding technique, which can be used in video communications almost anywhere, anytime on any device as follows : ( 1 ) convert true color video sequences from ccd and video card to grayscale ones, ( 2 ) detect static region of successive frames by the sum of absolute differences ( sad ) and update current frame using static region of previous frame, to decrease flicker. ( 3 ) threshold the images to bi - level video sequences using ridler ' s iterative selection

    為此，本論文在傳統h . 26x和mpeg - x等視頻編解碼技術的基礎上提出了一種新的基於輪廓的視頻編解碼方案，步驟如下： （ 1 ）先把從ccd攝像頭捕捉到的視頻幀序列轉換成灰度幀序列， （ 2 ）在灰度幀序列的基礎上通過sad演算法找出相鄰幀的靜態區域，用前一幀的靜態區域更新當前幀的相應區域，這樣可以降低畫面閃爍， （ 3 ）然後用灰度直方圖迭代所產生的閾值二值化圖像，生成基於輪廓的視頻幀序列， （ 4 ）最後運用基於上下文的算術編碼技術對由第三步生成的二值化視頻幀序列進行算術編碼。
  3. Finally through comparison of test results based on the moving fish in color video sequences, the method presented in this paper combining with the hue information shows effective results for localization in color video sequences. and the determination method of initial position presented above improves object localization efficiency remarkably, at the same time a good robustness in partially occluded object localization in color video sequences has been acquired

    最後，本文以彩色視頻序列中運動的海魚為實驗研究對象，通過對實驗結果分析比較發現，在該方法中使用色調信息能有效地實現彩色視頻序列中的目標定位，利用視頻中相鄰幀之間的相關信息確定模型初始位置的簡單方法，在解決確定模型初始位置的難題的同時，不但提高了定位效率，而且對彩色視頻序列中有部分遮擋的目標定位同樣具有魯棒性。
  4. In intra - frame postprocessing error concealment techniques in this dissertation, interpolating pixel values within a damaged macroblock from its four 1 - pixel - wide boundaries and introducing the texture information from its four adjacent blocks can improve the quality of reconstructed image. it was found that the visual texture in damaged macroblocks can be reconverted with his algorithm in experiment

    本文提出的一種基於視頻幀內后處理的錯誤隱藏演算法，採用幀內紋理恢復的內插技術，將相關性最強的象素作為損壞塊內插的信息源，並引入相鄰塊的紋理信息，從而獲得較好的圖象恢復質量。
  5. Compare to constant background image in common use, the arithmetic have highly nicety and steadily result

    與常用的背景圖像不變和相鄰幀圖像作差分等檢測演算法相比，本演算法具有檢測準確度高，抗干擾性強等特點。
  6. To mitigate the visual " popping " during the detail level transit, we introduce a deferred merging method to realize the geomorphing in terrain mesh refinement

    為了減少相鄰幀畫面在地形不同層次細節之間變化所引起的幾何跳躍，採用了滯后合併的方法來實現動態構網過程的幾何過渡。
  7. The algorithm can be finished with automating in most case and suits for any scale image with unknown any parameter of camera. mosaic image is smooth and has no gap. 2

    分析表明，本演算法適宜於任何大小的圖象並且不需要知道相機的任何參數（如焦距） ，對相鄰幀圖象之間相機的運動沒有嚴格的限制。
  8. Regarding of the moving continuity and the small change of object ' s features in frames, a kind of cost function is put forward in the tracking and counting algorithm, which is applied in the tracking match of the image

    跟蹤計數是本演算法的一個難點。根據該類多目標在相鄰幀間運動具有連續性，並且包圍窗口變化不大的特點，本跟蹤計數演算法改進了一種代價函數，應用於圖像跟蹤的匹配過程中。
  9. Through analyzing actual traffic scene, especially considering the video change between adjoining frames, this paper presents a robust and real - time method for extracting and updating background, and realizes the algorithm of vehicle detection based on background subtraction

    摘要通過對交通場景實際情況的分析，特別是考慮到視頻在相鄰幀之間的變化，提出了一套魯棒、實時的背景提取及更新演算法，實現了基於背景差分演算法的車輛檢測和提取。
  10. Exploiting the frame coherence, the display of large scale texture is reduced to a caching problem in which texture memory serves as the primary cache for texture data, main memory the secondary cache, and local disk the tertiary cache

    利用相鄰幀之問的連貫性，大規模的紋理映射歸結為紋理數據在各個存儲之間的調度問題，從硬盤到系統內存及系統內存到紋理內存，通過各個層次的存儲器，能夠有效地執行遠遠超出紋理內存的大規模紋理映射。
  11. Based on the moving characteristics of small targets in ir image sequences, a judging method based on neighborhood is discussed and used. emulation results show this method can distinguish small target from sequences effectively. furthermore, it has lower computation requirements and uses fewer images for detection as well

    在這里，採用基於鄰域判決的方法，即根據目標運動的連續性和規則性，利用相鄰幀中可疑目標之間的位置關系進行目標檢測的方法，對前面處理過的二值圖像進行了跟蹤檢測，並在實驗中取得了比較理想的效果。
  12. Finding out the most resembled part as the matching part in the neighbor by using the present part, pointing at it by motion vector, then finding out the different part between the matching part and the present part, at last rebuilding the compressed frame by the matching part and the different part, this process is called motion compensation

    用當前部分在相鄰幀中尋找最相似的部分作為匹配部分，用運動矢量指向匹配部分，再用匹配部分與當前部分之間的差形成誤差部分，以匹配部分和誤差部分來重建壓縮圖像的過程叫運動補償。
  13. For i - frame coding, existing coding standards only take use of information of itself, and for p - frame and b - frame, inter - frame information is used. however, there is still redundancy among those adjacent frames that are coded as i - frame

    然而事實上，相鄰多個i幀之間的信息上仍然也存在冗餘，本文的貢獻就在於利用了i幀間的冗餘進行幀間編碼，從而進一步提高了編碼性能。
  14. The calculation formula of micropiv technique is the original definition of velocity : v = [ s ( t2 ) - s ( tl ) ] / ( t2 - tl ). on the two neighboring frame of images, we search for the two small areas which have the largest correlation. by dividing their distance by their shooting interval, we got the average velocity of this small area in this interval, and then got the velocity of full flow

    Piv測試原理的計算公式，是速度的原始定義： v = [ s （ t _ 2 ） - s （ t _ 1 ） ] （ t _ 2 - t _ 1 ） 。在相鄰兩幀圖像上，找出相關度最大的兩個小區域，用它們之間的距離除以兩次拍攝之間的時間間隔，就得到這個小區域在間隔時間內的平均速度，進而得到整個流場的速度分佈。
  15. The stack frames in a chain occupy contiguous stack space, and share the same thread and context

    鏈中的堆棧幀占據相鄰的堆棧空間，並共享相同的線程和上下文。
  16. A new sequential images sub - splicing method is proposed, which based on features of markers and aimed at looking for the same markers in overlapped area of two adjacent images to finish the splicing task. no real image coalescence is done, but the redundant information is diminished, so the two adjacent images are considered well spliced. big marks are interlaced with small ones to realize accurate image sub - splicing in real situation

    闡述了種子動態圖像拼接原理，提出了動態圖像亞拼接檢測方法，該方法基於標記特徵，以搜尋相鄰兩幀圖像中重疊區域內相同標記為目標，利用相同標記在前後兩幀圖像中應具有相同特徵向量的特點，通過特徵向量的匹配，實現冗餘圖像信息的去除，達到相鄰兩幀圖像的拼；提出了大小間隔的標記方案，以適應採集工況，實現準確圖像亞拼接；研究了重疊區域寬度對拼接精度的影響，給出了重替區域寬度設置方式。
  17. What the part of the principle of video reduced narrates mainly is that there is plentiful temporal redundancy between adjacent frames in a video sequence for their " similarity " and there is a lot of spatial redundancy in each pixel within a frame for their " similarity ", the video is compressed by reducing spatial and temporal and statistical redundancy with the technology of dpcm and dct and huffman encoding

    視頻壓縮原理部分介紹了視頻序列的相鄰幀之間的「相似」而存在大量的時間冗餘度，幀內各相鄰象素的「相似」而存在大量的空間冗餘度。通過使用dpcm 、 dct和huffman編碼去除了時間、空間及統計冗餘度，從而實現了視頻的壓縮。
  18. The traditional segment method according to moving region detection gets the moving information by the residual quality of space and time between two frame, and then eliminates the disturbance of noises through statistics way,

    傳統的基於變化區域檢測的運動對象分割方法都是利用了相鄰兩幀間的時域差分來得到目標的運動信息，再用統計學方法消除噪音的干擾，從而完成分割。
  19. According to minimum mean absolute difference criteria ( mad ), our paper uses three - step search algorithm to get the block vectors in two sequential images. main direction of object motion could be obtained by classifying and the average vector on main direction is the vector of whole object. this thesis starts with an introduction of the motion analysis

    根據最小平均絕對差值（ mad ）準則，利用三步搜索演算法，計算出相鄰兩幀視頻圖象中各子塊的運動矢量，該演算法通過對運動矢量場中的運動矢量進行統計、分類，找到物體運動的主要方向，而主運動方向上的平均運動矢量就是物體運動的整體矢量。
  20. The proposed algorithm can effectively exploit the temporal correlation in real image sequences, since each range block is approximated by the domain block in the adjacent frame, which is of the same size as the range block

    這個新演算法在實際圖像序列中，能充分地開發出時間上的相關性，因為每個值域塊都是由相鄰圖像幀中的相同尺寸的定義域塊來逼近的。
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