目前影片檢索系統，大部分都是在未壓縮領域下，並且利用顏色、形狀、紋理等做檢索。而在壓縮領域下的檢索系統，都會先作前景分割處理。本論文提出一個快速影片檢索方法，希望能達到不需要分割前景，就能搜尋到所需要的影片。
本論文中，利用攝影機運動估測所得到的參數，建立「攝影機運動特徵」，即為每段影片建立一個攝影機運動序列。另外將畫面的運動向量，扣除攝影機運動部份，加上時間軸的資訊，將殘餘的運動向量連接起來，稱為「運動流」，並利用此運動流建立「運動流特徵」。本論文將實驗分為三部份作比較，第一部份為利用攝影機運動特徵的檢索，第二部份為利用運動流特徵的檢索，第三部份為結合攝影機運動特徵與運動流特徵的檢索。而結果顯示，以運動為主的檢索，正確率為50%，但回收率為100%，可以利用此作進一步的檢索。而攝影機運動特徵與運動流特徵檢索效果的比較上，可以看出運動流特徵的結果是比較準確的。

In this paper, we propose the method to combine the use of motion vector embedded in MPEG bitstream to generate ”motion flow”, and the use of camera motion parameter of camera motion estimation to generate “camera motion sequence”, which are applied them to perform quick video retrieved. We want to implement the system which we can retrieved the video in compressed domain without segmenting the moving object..
There are three sections in our experiment. One is retrieved by “camera motion sequence”, One is retrieved by “motion flow”, and the last is retrieved by both these features. From the experiment, we can know that the retrieval by motion flow is better. The precision of our method is 50%, but the recall is 100%, and we can use the system to do more detail searching.

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