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2. Uncompressed video - Wikipedia

   en.wikipedia.org/wiki/Uncompressed_video

   Uncompressed video is digital video that either has never been compressed or was generated by decompressing previously compressed digital video. It is commonly used by video cameras, video monitors, video recording devices (including general-purpose computers), and in video processors that perform functions such as image resizing, image rotation, deinterlacing, and text and graphics overlay.

3. Chroma key - Wikipedia

   en.wikipedia.org/wiki/Chroma_key

   Chroma key is achieved by comparing the phase of the video to the phase corresponding to the pre-selected colour. In-phase portions of the video are replaced by the alternate background video. [citation needed] In digital colour TV, colour is represented by three numbers (red, green, blue intensity levels). Chroma key is achieved by a simple ...

4. AVS Video Editor - Wikipedia

   en.wikipedia.org/wiki/AVS_Video_Editor

   AVS Video Editor is a video editing software published by Online Media Technologies Ltd. It is a part of AVS4YOU software suite which includes video, audio, image editing and conversion, disc editing and burning, document conversion and registry cleaner programs. [2]

5. AOL Mail

   mail.aol.com

   Get AOL Mail for FREE! Manage your email like never before with travel, photo & document views. Personalize your inbox with themes & tabs. You've Got Mail!

6. Wikipedia:How to improve image quality - Wikipedia

   en.wikipedia.org/wiki/Wikipedia:How_to_improve...

   Images can often be improved – or even transformed – by using graphics software such as Photoshop or the free GIMP and Paint.NET applications. Many other programs also have photo-enhancing tools, including facilities for semi-automatic image enhancement, so that you need only click a button, or choose a thumbnail, to have a positive effect on image quality.

7. Foreground detection - Wikipedia

   en.wikipedia.org/wiki/Foreground_detection

   Background subtraction is a widely used approach for detecting moving objects in videos from static cameras. The rationale in the approach is that of detecting the moving objects from the difference between the current frame and a reference frame, often called "background image", or "background model".