What is the application of SVAC 2.0 in smart cameras?

1. SVAC 2.0's efficient compression technology

The main technical features of the SVAC 2.0 standard include: support for high-precision video data encoding, support for diverse intra and inter prediction, transform quantization, binary arithmetic coding, etc., support region of interest (ROI) variable quality coding, scalability Video coding (SVC) technology, support for dual-core audio coding for digital book-excited linear prediction (ACELP) and transform audio coding (TAC) switching, support for encoding of voice recognition feature parameters, support for absolute time reference information, intelligent analysis information, etc. Information, support data security protection, support video data encryption, authentication.

2.SVAC2.0 intelligent analysis data support

Under the premise of ensuring real-time video and audio encoding and decoding, SVAC2.0 combines intelligent analysis technology, refines intelligent information and organizes classification, and adds intelligent analysis specific information to provide structured support for intelligent video processing information.

3. SVAC2.0 edge computing intelligent data carrying method

SVAC2.0 specifies the specific carrying method for edge computing intelligent information and commonly used intelligent analysis results. The intelligent analysis information extension syntax is added to the monitoring extended data unit, and the manner in which the result of the intelligent analysis algorithm of the surveillance video is encoded into the video stream is defined. In this way, the center and the data intelligent analysis process of the encoding end are separated, and the video encoding end carries the result of the intelligent analysis into the code stream and transmits it, and the center only needs to read the result of the intelligent analysis after the edge calculation, and then performs comprehensive comparison, Collision greatly reduces the pressure on the central analysis data and provides support for monitoring video big data analysis applications.

SVAC2.0 fully considers the video features closely related to public safety. These features play an important role in handling cases, monitoring public opinion, and maintaining social security. They support image analysis rules, target detection and feature analysis, target recognition, and behavior. The main data of analysis and target quantity statistics are defined in a normative format.