Dynamic Image Encoding for Mobile Platforms

The patent implements dynamic decision-making by introducing a determination module that evaluates encoding quality parameters and network state parameters to dynamically decide whether to execute the target area image processing algorithm. This transforms the static, always-on processing approach into a dynamic, condition-based approach, allowing the system to adapt between different encoding strategies based on real-time conditions, thereby resolving the contradiction between maintaining target area quality and preserving encoding flexibility.

The patent changes the operational parameters of the encoding system by introducing conditional execution based on evaluated parameters. When the determination module decides not to execute the target area image processing algorithm, the system switches to a different encoding parameter set that applies uniform processing across the entire image. This parameter switching mechanism optimizes bandwidth utilization by avoiding unnecessary processing when target area quality requirements are already met, thus resolving the contradiction between target area quality and bandwidth efficiency.

The patent applies segmentation by dividing the image into target area and non-target area portions, then applying different quantization parameters to each segment. The target area uses a first quantization parameter that preserves more detail, while the non-target area uses a second quantization parameter that allows more compression. This segmentation approach resolves the contradiction by enabling differentiated processing that prioritizes target area quality while maintaining manageable encoding complexity through structured parameter assignment.