Adaptive Video Frame Encoding Resolution for Limited Bandwidth

The patent applies dynamics by making the encoding resolution adaptable rather than fixed. The encoder dynamically selects between full resolution and downsampling based on real-time analysis of frame characteristics (such as motion intensity, texture complexity, and importance) and bandwidth conditions. This allows the system to optimize video quality for important frames while reducing complexity for less critical frames, directly resolving the contradiction between maintaining high quality and managing encoding complexity.

The patent implements local quality by applying different encoding resolutions to different video frames based on their individual characteristics. Instead of uniformly encoding all frames at full resolution, the system identifies specific frames that benefit from full resolution (such as key frames or frames with important visual information) and encodes them at full resolution, while downscaling less important frames. This localized approach improves overall video quality perception while managing bandwidth constraints.

The patent implements feedback by establishing a consistent processing parameter system that links encoding and decoding operations. The encoder determines processing parameters (such as downsampling ratios, filtering methods, and frame selection criteria) and ensures these same parameters are reproduced during decoding. This feedback mechanism allows the decoder to accurately reconstruct frames that were downsampled, maintaining decoding accuracy even when bandwidth is reduced through downsampling.

The patent applies preliminary action by pre-determining and recording the processing parameters during encoding before transmission. The encoder analyzes each frame and decides in advance whether downsampling should be applied and at what level, storing these decisions as processing parameters. This preliminary action ensures that when the decoder receives the encoded data, it can immediately apply the correct reconstruction process without needing to re-analyze or guess the intended processing level, thus maintaining accuracy while enabling bandwidth efficiency.