Video Encoding Region Detection Adaptive Quality Allocation

The patent applies local quality by differentiating encoding quality across different spatial regions of the video signal. Regions of interest (such as areas containing human faces or important objects) are identified and allocated higher encoding quality and more computational resources, while non-critical regions use lower quality settings. This resolves the contradiction by maintaining high image quality where needed without uniformly applying high-quality encoding across the entire signal, thus preserving processing speed.

The patent segments the video signal into multiple regions based on their importance, identifying regions of interest containing critical content such as human faces or key objects. By dividing the encoding process into region-specific operations with different quality parameters, the system achieves superior image quality in critical areas without requiring uniformly complex encoding across the entire signal, thus resolving the contradiction between complexity and quality.

The patent applies partial action by concentrating computational resources and higher encoding quality only on identified regions of interest rather than applying excessive quality settings uniformly across the entire video signal. This selective approach achieves superior visual quality in critical areas while avoiding the time penalty of processing the entire signal at high quality, thus resolving the contradiction between visual quality and processing time.