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Video Data Analysis (VDA) is a curated multi-disciplinary collection of tools, techniques, and quality criteria intended for analyzing the content of visuals to study driving dynamics of social behavior and events in real-life settings. It often uses visual data in combination with other data types.
A video file format is a type of file format for storing digital video data on a computer system. Video is almost always stored using lossy compression to reduce the file size. A video file normally consists of a container (e.g. in the Matroska format) containing visual (video without audio) data in a video coding format (e.g. VP9) alongside ...
Digital video is an electronic representation of moving visual images in the form of encoded digital data. This is in contrast to analog video, which represents moving visual images in the form of analog signals. Digital video comprises a series of digital images displayed in rapid succession, usually at 24, 25, 30, or 60 frames per second ...
DV was designed to be a standard for home video using digital data instead of analog. [1] Compared to the analog Video8/Hi8, VHS-C and VHS formats, DV features a higher video resolution (on par with professional-grade Digital Betacam) and also records audio digitally at 16-bit like CD. [2]
A video coding format [a] (or sometimes video compression format) is a content representation format of digital video content, such as in a data file or bitstream.It typically uses a standardized video compression algorithm, most commonly based on discrete cosine transform (DCT) coding and motion compensation.
Α video codec is software or a device that provides encoding and decoding for digital video, and which may or may not include the use of video compression and/or decompression. Most codecs are typically implementations of video coding formats. The compression may employ lossy data compression, so that
Video content analysis is a subset of computer vision and thereby of artificial intelligence. Two major academic benchmark initiatives are TRECVID, [23] which uses a small portion of i-LIDS video footage, and the PETS Benchmark Data. [24] They focus on functionalities such as tracking, left luggage detection and virtual fencing.
The three major picture types used in the different video algorithms are I, P and B. [1] They are different in the following characteristics: I‑frames are the least compressible but don't require other video frames to decode. P‑frames can use data from previous frames to decompress and are more compressible than I‑frames.