Scene-Aware Video Compression with Element-Specific Encoding

The video frame is divided into multiple regions based on visual importance, with different encoding parameters applied to each region. This segmentation allows high-quality encoding for important regions (such as regions containing human faces or text) while using lower-quality encoding for less important background regions, thereby improving overall perceived quality without uniformly increasing complexity across the entire frame.

Different encoding parameters are applied to different regions of the video frame based on their visual importance. Important regions receive higher quality encoding with finer detail preservation, while less important regions use coarser encoding. This local quality approach optimizes perceived quality by concentrating encoding resources where they are most needed rather than uniformly distributing them.

The patent applies high-quality encoding only to visually important regions such as those containing human faces, text, or objects of interest, while using lower-quality encoding for background regions. This selective approach improves perceived quality by maintaining high fidelity where viewers are most likely to notice, while reducing resource consumption by using coarser encoding elsewhere.

The patent dynamically adjusts encoding parameters such as bit rate, quantization level, and block size based on the visual importance of different regions. By changing these parameters locally rather than uniformly, the system optimizes the balance between perceived quality and resource consumption, allocating more resources to important regions and fewer to less important ones.