Hierarchical Tile Data Structure for Selective Video Decoding

The patent segments the video data into independent tiles and further divides each tile into sub-blocks. This segmentation allows the encoder to process and encode only the necessary portions of each tile, reducing the overall processing cost while maintaining quality. The hierarchical structure (tiles → sub-blocks → nodes) enables selective encoding based on content complexity and importance.

The patent applies different encoding strategies to different regions of the video data based on local characteristics. By evaluating sub-blocks individually and assigning values based on threshold criteria, the system allocates more bits to important regions and fewer bits to less important regions, optimizing the trade-off between quality and processing cost.

The patent applies partial quantization by selectively encoding only certain sub-blocks and nodes based on threshold criteria. Instead of applying uniform fine quantization to the entire video stream, the system applies finer encoding only where necessary (excessive action in critical areas, partial action overall), reducing total bandwidth while maintaining quality in important regions.

The patent dynamically adjusts quantization parameters based on local content characteristics. By evaluating sub-blocks against threshold values and adapting the encoding precision accordingly, the system changes parameters locally to optimize the balance between video quality and bandwidth consumption.

The hierarchical structure segments the video into independent tiles and sub-blocks that can be decoded separately. This segmentation reduces decoding complexity by allowing parallel processing and enabling the decoder to skip less important regions without affecting the decoding of other regions.

The patent performs preliminary encoding actions by pre-processing the video data into a hierarchical structure with assigned values during encoding. This preliminary organization of data into tiles, sub-blocks, and nodes with threshold-based values simplifies the decoding process, as the decoder can directly interpret the structured data without performing complex analysis.

The patent extracts only the essential metadata needed for efficient decoding by assigning simple threshold-based values to nodes in the hierarchical structure. Instead of transmitting comprehensive metadata about every sub-block, the system extracts and transmits only the critical information (threshold values and structural organization), reducing bandwidth while maintaining decoding efficiency.

The hierarchical data structure with threshold-based node values enables the decoder to self-organize and efficiently process the data without requiring extensive metadata. The structure itself provides the necessary guidance for selective decoding, allowing the system to be self-sufficient and reducing the bandwidth overhead for metadata transmission.