影像處理的需求隨著數位影像的普及日漸增大，需要有效的方法來瀏覽和查看它們。
其中在電影內容摘要與分類推薦的領域中，通常需要使用者去標記、萃取關鍵內容，本系統希望能自動化讀取使用者曾看過的影片來做影片內容分析；通常看完影片一段時間後只會留有模糊的記憶，而我們希望可以讓使用者利用這些模糊的記憶來尋找回影片的資訊。
系統能透過關鍵影格與影片字幕的關鍵詞，來幫助使用者回想起看過的影片內容與劇情，讓使用者在不需手動處理的情況下，即可透過抽取出的瀏覽內容快速喚起影片的相關訊息，並了解自己的喜好分類並給予相關影片的推薦。
除了幫助使用者完成劇情回想外，系統也會簡易地根據使用者的喜好推薦相關的影片。

With more and more digital videos being made available, so we need powerful ways to handle, browse and view them. And about the movies, we make a summary, classification and suggestion.
A user usually needs to label and extract the content. Our system can automatically load the videos and analyze them after the user has already watched the videos.
After watching the movies for some time, people typically have vague memories of the contents; we use those vague memories to recall the information of the video.
The system can browse through keyframes and caption to help a user recall the video content and any other information, and it can also recommend some video based on user is feedback.

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