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Digital Video fundamentals
A digital video stream comprises individual frames, each representing a time slice of the scene, similar to how physical film and analog video are made up of individual frames. Frame rates for digital video clips range from 12 to 30 frames per second, with 24 frames per second being the most popular. The audio is retained in close synchrony with the video parts but stored as a distinct stream. Digital video, like analog television, has a "split and conquer" strategy. However, in addition to dividing the image into horizontal lines, each of those lines is further subdivided into a sequence of dots, known as pixels, with each dot's intensity and color represented by a number. Each of these individual pixels would become easy to recognize if we zoomed into a frame of digital video. Each pixel can be visually identified by its overall intensity and color. Still, that color can also be represented by a number that uniquely identifies its overall value and is easier for the computer to operate and store. A video is a collection of images (called frames) collected and presented at a set frequency. A single video frame, i.e., an image, can be obtained by pausing at a specified frame in the sequence.
The majority of interframe coding applications have stringent real-time decoding requirements. As a result, in an interframe coding scheme, the complexity of decoding tools is far more critical than in a still picture coding scheme. In an interframe video coding scheme, a considerable number of coding tools are devoted to motion-related processing. Surveillance camera video streams are encoded or decoded using video processing. Thanks to the processing, numerous cameras can be presented on a single monitor, and multiple camera views can be cycled on a single monitor. To accomplish this, a cross-point matrix and multiplexer, both vestiges of analog video systems, have traditionally been used.
We've seen the following things in this lesson:
- Digital Video fundamentals.
We're going to see in the next lesson:
- Working of biological neurons.
- Working of artificial neural network.