最後一幀 的英文怎麼說

中文拼音 [zuìhòuyīzhèng]
最後一幀 英文
last frame
  • 最 : 副詞（表示某種屬性超過所有同類的人或事物） most; best; worst; first; very; least; above all; -est
  • 幀 : 量詞（幅, 用於字畫）
  • 最後 : last; final; ultimate
  1. The sender eventually will time out and retransmit all unacknowledged frames, beginning with the lost or damaged one

    最後發方將會不計時，並且由丟失的或損壞的一幀開始，重發所有未接收的幀。
  2. The bridge can continue push the dvb - c transport stream coming from the receive card to the universal media player to display online. in order to be compatible with the data rate in the bridge, the parser must have these functions : identifying the format of each elementary stream ( es ) ; repacketing the es frames or packets into small samples ; timestamping each sample for decoding and delivery by the arithmetic of getting the pts of an audio frame

    音視頻解析器的設計兼容了橋接器對數據推送的速率，在該解析器中通過「解析音視頻基本流」演算法來識別出每一個流的格式、每一幀數據，並對這些數據重新打包成一個個數據sample ，再通過「音頻pts的獲取」演算法給這些sample打上正確的「 directshow 」時間戳，最後在相應的輸出pin上進行發送。
  3. Specifies the last frame in a multiple - frame image

    指定多幀圖像中的最後一幀。
  4. As must be obvious, the last frame in the call stack depicted in

    中描述的調用堆棧中最後一幀實際上是對
  5. At array index 0 represents the most recent function call in the stack trace and the last frame pushed onto the call stack

    表示堆棧跟蹤中最近的函數調用以及推入到調用堆棧中的最後一幀。
  6. 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
  7. Visual analysis of human motion has been receiving increasing attention from researchers in the fields of image processing and computer vision during the past few years. it has a lot of applications in virtual reality, smart surveillance system, advanced user interface, motion analysis and video compressing, etc. this paper focuses on the technology of human motion tracking based on video, first, we make a summarization of the domestic and overseas status of the research in this field. on the basis of this, we analyse the technical difficulties of human motion tracking. as most of the existing model - based methods of human motion tracking perform not so good in some situation as they need mannual intervention, and also the precision of tracking is not so satisfying during the research of tracking of walking people because of the self - occlusion of legs, this paper proposes an algorithm of automatic detection and tracking of legs of the walking people based on monocular image sequences, in which we analyse the features of walking people, track the five joints of lower limbs, get various parameters, and then re - construct the walking process. the main research achievement is as follows : 1 ) we propose an algorithm of markerless automatic extraction of leg skeleton. first we divide the video into continuous image sequences, after background subtraction, the satisfying human region could be extracted, then we get a single - connected region by converting the rgb image to binary image and median filtering. afterwards, the contour of lower limbs in the frame with a widest boundingbox is detected, using sobel operator, to find the ankle joint of leg behind according to the features and rules of walking, then, the joint of knee of leg behind, hip, ankle of leg in front, knee of leg in front could be got in turn. so, model of leg skeleton is constructed

    首先將視頻分解成許多連續的靜態圖像幀，經過背景去除，把感興趣的人體區域提取出來，通過二值化，中值濾波等預處理方法得到只有人體的一個單連通區域，然後用sobel運算元檢測出boundingbox最寬幀中人體下半身的輪廓，根據運動規律及特徵找到後腿踝關節點，結合從boundingbox最窄幀中所獲取的腿長依次得到後腿膝關節，跨部關節，前腿踝關節，前腿膝關節四點，從而構建出腿部骨架模型。 2 ）實現了人體步行腿部骨架的跟蹤演算法。在完成對腿部骨架模型的自動初始化之後，本文對跨關節、膝關節及踝關節分別採用運動建模、圓周相交定點演算法、運動預測及預測點周圍搜索rgb相似矩形塊三種方法確定每一幀中其實際坐標，從而重構出腿部骨架的運動過程。
  8. In this paper ， an optimal search strategy by dividing the whole surveillance area into regions is presented so that the optimal search can be adaptively implemented in phased array radar. firstly ， the inherent relationship among average discovering time ， radar resources consumption ， search frame period and target distribution density is studied. secondly ， parameters for the region search are optimized to achieve the optimal search performance inside regions. then ， the optimal search frame period for each region is derived to minimize the average discovering time of targets ， where the constraint of radar time resource and the importance of each region are taken into account. finally ， the adaptability of this search strategy is discussed. only if the optimal parameters for each region are utilized and the beams are scheduled according to the optimal frame period under the radar time constraint ， the optimal distribution and the optimal scanning sequence of beams can be implemented adaptively. thus ， optimal search is adaptively implemented in the whole surveillance area

    本文提出一種分區搜索演算法，實現了相控陣雷達的自適應最優搜索.首先，研究了各區域平均發現一個目標消耗的雷達資源和目標被發現的平均時間同搜索幀周期以及目標強度的關系；然後，研究了在各區域採用兩步搜索演算法的最優參數設計，實現了局部區域的最優搜索；其次，在雷達時間資源有限和區域重要性加權的約束條件下，導出了使目標被發現的平均時間最小的區域最優幀周期；最後，討論了分區搜索演算法的自適應性.只要採用各區域的最優參數，按最優幀周期調度雷達波束，就可以自適應地實現使目標被發現的平均時間最短的波束的最優分佈和掃描順序，即自適應最優搜索
  9. Also an algorithm which combines both model matching and feature matching is put forward. the algorithm uses the object contour in previous frame as the reference template of current frame. based on the fact that object has a continuous track in movement, object ’ s current position can be predicted based on previous position and then match the reference template around the predicted position

    該演算法將前一幀目標輪廓作為當前幀的參考模板，根據目標在運動過程中具有軌跡連續性的特點，利用目標過去的跟蹤點位置信息得到當前的預測位置點，然後在預測位置點周圍一定范圍內進行模型匹配，以與參考模板匹配值最大的輪廓作為當前幀的目標輪廓，並且把它更新作為下一幀的參考模板。
  10. 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。
  11. In order to acquire 3d spatial position and motion parameters of moving target, the limitation of second focus method to get the depth of target is analyzed according to perspective projection model of target centroid. then, the constraint for obtaining 3d position and motion parameters of moving target centroid from monocular image sequence is presented and proved in this paper. with this constraint, a nonlinear extended kalman filter algorithm for estimating 3d spatial position and motion parameters of moving target centroid from monocular image sequence is proposed

    進一步，為獲取目標的空間位置和運動參數等三維信息，在目標和成像系統都運動的情況下，根據目標質心的透視投影成像模型，首先分析了二次成像法獲取目標深度信息的缺陷；然後給出了由單目序列圖像獲取目標質心的空間位置和運動參數的條件，並提出利用多幀單目序列圖像和應用非線性擴展卡爾曼濾波演算法來估計目標質心的空間位置和運動參數；最後對提出的估計方法進行了多組模擬驗證，證明該方法可行有效。
  12. Finally, shot detection from compressed video, based on dc image and motion parameters, is analyzed in detail ; 3 ) a spatio - temporal shot similarity rule is proposed to cluster video shots into video scenes, and fuzzy - clustering method for key frame extraction from video scenes is also given

    最後，詳細分析了基於dc圖像和運動參數的壓縮域鏡頭檢測方法； c ）提出了一種時-空融合的鏡頭相似性判斷規則，用於將鏡頭聚類為場景；同時，還給出了通過模糊聚類實現場景中關鍵幀自動提取的方法。
  13. Mupma protocol characterizes its access algorithm, which specifies a certain number of minislots at the end of each frame to accommodate access requests from activated users, and the number can be adjusted dynamically according to the degree of collisions

    Mupma協議採用一種高效的接入演算法：它在每一幀的最後保留適當數量的微時隙，供節點競爭接入，並且微時隙的個數隨著參加競爭的節點的多少而動態地調整。
  14. Edges of the image are detected out firstly, labeled according to the motion that they obey then and the areas of the frame between edges are divided into regions. at last, using the bayesian framework presented determines the most likely region labeling and depth ordering with the labeled edges

    首先使用經典的canny運算元檢測出一幀圖像的邊緣，然後對其進行運動估計、邊緣和區域標定，再應用最大后驗概率的貝葉斯方法搜索出不同區域的極大似然分割，給出不同運動層的相對深度標定。
  15. Users plot a coarse outline of video objects in the graphic user interface ( gui ) using the mouse at the first step, then fill the outline to obtain a binary model, using seed growing and wavelet edge correct the outline. in tracking video objects, we obtain an initial segmentation uses motion information and the model of previous frame, and correct by the information of space. finally, we obtain an accurate segmentation

    利用視覺系統的周邊抑制機制對模板外的象素進行屏蔽，消除背景影響，由自動閾值選取的小波邊緣提取獲得視頻對象的邊界，利用種子生長法進行輪廓擬合，由最短路徑法校正模板，在進行視頻對象的跟蹤時，利用運動信息和上一幀的模板，得到一個初始分割，利用空間信息對邊界象素調整，最後得到精確分割的視頻對象。
  16. This thesis is part of the project of national science foundation of china “ study on color video coding based on four - dimensional matrix ”. a multi - matrix theory model has been established in the project. and the color video is presented into a four dimensional matrix model and the four - dimensional discrete cosine transform ( 4d - mdct ) is applied to reduce the correlation between color components and adjacent pixels

    將多個彩色視頻幀構建在一個四維矩陣模型中進行運動補償預測、四維矩陣離散餘弦變換和矩陣量化，最後利用基於上下文的變長編碼方法進行壓縮，以全面去除彩色視頻各象素之間、各彩色分量之間以及連續幀之間的相關性，從而實現高信噪比條件下的高倍壓縮。
  17. The article will put forward a kind of new denoising method of digital image in frequency domain : start with a series of fourier transforms on hand and wrist x - ray image ; then carry on single frame mean value to deal with ; finally, carry out the single frame smooth handling of frame frequency. one that is through steps the above treated, get better test result, improve the artificial accuracy that read

    文章提出了一種新的圖像頻域祛噪方法：首先對採集到的手腕部骨圖像進行傅立葉變換；然後進行單幀均值化處理；最後進行單幀頻域平滑處理。通過以上步驟的處理后，得到了較好的試驗效果，大大提高了人工判讀的準確性。
  18. A final note - not every game requires high framerates

    最後一點? ?不是所有的游戲都需要高幀率。
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