Video Frame Segmentation for Adaptive Streaming Encoding

The patent segments video frames into multiple portions (e.g., foreground, background, text regions) and applies different encoding profiles to each segment. This allows the system to maintain adaptability across varying network conditions while reducing overall resource consumption by applying aggressive compression only to less important segments like backgrounds, rather than uniformly encoding entire frames at multiple quality levels.

Different quality levels and encoding parameters are applied to different spatial regions within video frames. Critical regions (foreground objects, text) receive higher quality encoding while non-critical regions (backgrounds) receive lower quality encoding. This local differentiation maintains perceived streaming quality adaptability while significantly reducing the computational and storage resources needed compared to maintaining multiple complete encoding profiles.

Video frames are divided into multiple segments with different importance levels, allowing the encoding system to focus computational resources on critical segments. This segmentation reduces the processing load on streaming devices while maintaining the ability to adapt quality based on network conditions, as the system only needs to intelligently encode important regions rather than processing entire frames at multiple quality levels.

The patent implements local quality differentiation where encoding parameters are optimized for specific regions of video frames. This approach reduces overall device complexity by eliminating the need to maintain and switch between multiple complete encoding profiles, while still providing adaptability through region-specific quality control that responds to network conditions.

The patent applies different encoding qualities to different spatial regions within video frames, with higher quality for important content (foreground, text) and lower quality for less important content (backgrounds). This local differentiation maintains processing simplicity by working within a single encoding pass while significantly improving streaming quality and reducing abrupt changes, as the encoder can smoothly adjust parameters for different regions rather than making abrupt switches between complete encoding profiles.

The encoding approach dynamically adjusts quality parameters for different frame segments based on content importance and network conditions. This dynamic adaptation within a unified encoding framework maintains processing simplicity while improving streaming reliability, as the system can respond to changing conditions by adjusting regional encoding parameters rather than requiring complex profile switching.