Patents
Literature
Patsnap Eureka AI that helps you search prior art, draft patents, and assess FTO risks, powered by patent and scientific literature data.

3 results about "Variable bit rate vbr" patented technology

Variable bit rate (VBR) encoding is an alternative to constant bit rate encoding (CBR) and is supported by some codecs. Where CBR encoding strives to maintain the bit rate of the encoded media, VBR strives to achieve the best possible quality of the encoded media.

Method and apparatus for pre-buffer media storage

Image capture devices and methods may be used to pre-buffer media storage. The pre-buffering method includes recording an image capture segment of a variable bitrate input stream in a circular buffer. The circular buffer includes a number of recordable segments. The method includes recording a next image capture segment in a next adjacent recordable segment of the circular buffer if the next adjacent recordable segment of the predetermined number of recordable segments is available. The method includes overwriting an oldest recordable segment if the next adjacent recordable segment of the predetermined number of recordable segments is not available.
Owner:GOPRO INC

Dynamic adaptive edge-cloud collaborative computing split point and compression strategy adjustment method

The application discloses a dynamic self-adaptive edge-cloud collaborative computing segmentation point and compression strategy adjustment method. The core of the method is to deploy a dynamic decision engine on the edge device. The engine real-time perceives network state (such as bandwidth, delay) and application specified task priority, and according to the preset decision logic (such as query table or lightweight prediction model), dynamically selects the optimal model segmentation point and feature compression level combination from a deep learning model supporting multiple segmentation points and equipped with variable bit rate layered quantization feature compression model for each segmentation point. The combination is transmitted to the cloud, and the corresponding backend model is loaded to complete the calculation. Through the dynamic adjustment mechanism, the application realizes the real-time optimal balance among inference delay, task accuracy and network overhead, and significantly improves the performance stability, resource utilization and adaptability of the system in a variable environment.
Owner:杭州智元研究院有限公司