Method for video playing and based on stream media system

Abstract

The invention discloses a method for video playing and based on a stream media system. The method comprises the following steps: firstly, a user sends out video playing information; secondly, the stream media system receives the video playing information, at the same time receives real-time videos uploaded by a video sensing node, performs multi-stage caching to the real-time videos, and counts and records the number of video frames received by the cached videos in a time slot interval with a certain period of time; and thirdly, the stream media system reads the real-time video in a time slot interval with a certain period of time, and transmits the videos to users based on the recorded real-time video frames. The invention adopts the stream media system to realize video playing, the stream media system does not depend on a video coding system and a video coding system, supports the video sensing node adopting different video sensing schemes, can conveniently enlarge the scale of a network, has high compatibility and practicability, as well as excellent universal property, and is suitable for the playing of various videos.

Description

technical field [0001] The present invention relates to the field of video playback, in particular to a streaming media system-based video playback method for the Internet of Things Background technique [0002] The Internet of Things is a network composed of items connected to each other, usually consisting of three layers: perception layer, network layer and application layer. In the perception layer, the object obtains the relevant parameters of the surrounding environment through various sensors such as temperature sensors, humidity sensors, RFID tags, cameras, GPS and other perception terminals, transmits and processes the perceived information through the network layer, and then communicates with users at the application layer Interaction to realize the intelligent application of the Internet of Things. [0003] With the popularization of 3G technology, users can obtain high-speed mobile bandwidth within the coverage area of ​​the network. Applying 3G technology to th...

AI Technical Summary

Problems solved by technology

However, this kind of method has the following defects: first, the parameter adjustment of the encoder depends on the estimation and prediction of the network state, and in the wireless environment, the network will undergo sudden and discontinuous changes, so the estimation and prediction method It is difficult to accurately reflect network changes; secondly, methods based on dynamic encoding all require the parameter support of the encoder, and in IoT applications, it is impossible for the sensing device used for video perception to have a unified video encoding interface, or only have limited Video encoding adjustment parameters, so this method is less versatile

The main defect of this type of method is that the method depends on the implementation of the video decoder. When browsing real-time video, it is necessary to install a specific decoder that implements the self-adjusting method, and the decoder is affected by the operating environment (such as operating system, hardware conditions), etc. limitations, poor versatility

Images