What is Video Processing?
Video processing converts analog or digital signals into a format that can be displayed on the screen. It may also be compressed and multiplexed with other streams for storage or transmission over a communication channel.
Backend video processing includes features like noise reduction, deinterlacing and resolution scaling. It may also perform frame rate conversion and color space conversion.
Image processing is a subset of video processing and can include methods for changing the characteristics of an image or improving its quality. This is a broad field that encompasses methods such as deblocking, noise reduction, and color space conversion.
The goal of image/video processing is to improve the overall picture quality, or reduce its storage and transmission requirements. This can be accomplished by using various techniques such as video encoding, frame rate adjustment, deinterlacing, and video editing.
For example, interpolation techniques may be used to create a smoother video image by combining the best elements of each individual frame. In addition, video filters are used to perform basic video manipulations such as image resizing and brightness/contrast control. More advanced image/video processing algorithms use statistical analysis to identify data insights or support automated tasks in computer vision use cases. These techniques can help organizations streamline tedious tasks and make informed decisions. They can also enable new social media applications that allow users to share visual content in a way that is both attractive and engaging.
Video signal processing
Video processing involves using software and hardware to edit the images and sound recorded in video files. These algorithms can be very simple, as in adjusting the brightness or contrast of an image, or they can be much more complex, such as in tracking objects that move throughout video sequences.
These algorithms can also be applied to the audio tracks of videos, such as adjusting the volume during overlaps or adding background music. This type of video processing is also used to improve video quality, add visual effects, and encode and compress videos for playback on mobile devices or the Web.
Video processing is a broad term that refers to any application of computer algorithms to digital video. It might include prefilters like contrast changes, deflicking, or noise elimination; intrafilters such as pixel size conversions; and output filters.
Video encoding is a type of video processing that converts RAW video content into compressed digital data for transmission over the internet. This is a key step in optimizing videos for the web, ensuring compatibility with different devices and platforms.
Video encoders use a combination of algorithms to reduce the size of video files without compromising quality. For example, they might pixelate video frames or compress them using YCbCr color compression. They might also apply prefilters to remove aliasing or artifacts from images.
The encoding process takes place prior to uploading video files onto a streaming service, such as Uploadcare. It’s an important step that optimizes the videos for streaming, reducing file sizes and ensuring quality for the broadest possible audience.
Video editing is a type of image processing wherein the video clips are arranged in a timeline, music tracks are added, digital on-screen graphics and effects can be applied and then the final program is “rendered” as a movie. Then, it can be saved as a file to be played on a computer or on other devices like mobile phones.
Video processing includes post filters like deinterlacing, which eliminates the feathering artifacts that can appear when a video recorder interlaces the images it records. Other post processing includes video conversion, where film is converted to video.
Other examples of video processing include upconversion, resolution scaling, enhancement, frame rate conversion, color space conversion and brightness/contrast/gamma adjustment. In some cases backend video processing is used to convert 2-D video to 3-D and vice versa. This involves a matrix or multiplexer that can switch between different camera views and cycle them through a monitor. This can be done with the legacy products of a cross-point matrix or multiplexer.