Digital Video Signal Modification TRIZ Cases

Mirror prediction segments current blocks into distinct regions to optimize intra prediction accuracy.

A block level adaptive weighted prediction method selects scaling factor look-up tables to reconstruct video blocks.

Signaling subpicture identifiers via picture parameter sets reduces transmission and storage costs while maintaining high-resolution image quality.

A dynamic reference pixel generation process adjusts interpolation filter tap lengths based on block size and quantization parameters.

A rate-adaptive neural image compression framework uses an adversarial generator to dynamically adjust anchor models for flexible bit-rate control.

Creating dependency boxes linking partition tracks enables efficient HTTP streaming of spatial tiles by eliminating non-continuous byte range access.

Flexible partition reference sample memory reuse reduces coding complexity and improves efficiency for non-square block partitions.

Adaptive coding group sizing adjusts dimensions to match transform unit aspect ratios for optimized coefficient scanning.

A combined intra and merge prediction mode generates final predictors by averaging spatial and temporal estimates.

Segments 4 and 6 parameter models in an HMVP buffer to resolve the trade-off between prediction accuracy and memory complexity.

Encoder uses common header in layered bitstreams to reduce circuit scale while maintaining processing speed.

SampleToGroupBox identifies step-wise temporal sub-layer access samples, resolving compact signaling bottlenecks for efficient up-switching.

Combining upsampling and bit-depth conversion into a single process reduces rounding errors that degrade prediction accuracy in scalable video coding.

A video encoder restricts dependent quantization and sign data hiding to transform skip blocks only.

Deriving illumination parameters from neighboring samples to adjust inter-predicted video blocks.

A motion information list construction method updates candidate lists using extra motion data to provide effective displacement vectors.

An image decoding method dynamically switches between maximum N and M intra prediction modes to generate prediction blocks.

A video decoder selects an updated or prior entropy model based on bitstream indications to optimize compression efficiency.

Conditional kernel type signaling selects explicit or implicit parameters, reducing coding overhead while maintaining compression efficiency.

Selective macroblock conversion reduces processor load by avoiding full video stream decoding during content modification.

Selective transform skip flag coding for dual-tree luma blocks reduces data transmission volume while maintaining high precision.

Video decoders derive chroma quantization parameter offsets from index lists to lower bitrates while maintaining high-resolution image quality.

Signaling viewports via a spherical region structure reduces bandwidth consumption by processing only relevant content segments.

A high-speed parallel engine processes file-based images via transfer units.

Segments motion vectors by type to avoid zero scaling factors, reducing complexity while improving compression performance.

A linear model prediction method divides coding blocks into sub-blocks to construct localized models using adjacent reconstructed pixels.

A video compression method normalizes the compression factor to smooth image quality variations across encoded sequences.

A circular buffer stores video packets to enable immediate frame decoding and rendering.

Including dimg-instr-set and codecs in MIME types avoids unnecessary file downloads by allowing players to assess rendering capability before processing.

Inside view motion prediction mode adopts texture view motion data for depth view coding in 3D video streams.

A client-server codec system enables efficient media streaming by leveraging compression techniques like run-length encoding and lookup tables.

A combined intra/inter prediction mode merges spatial and temporal references to enhance video coding efficiency.

Conditional loop filter parameter sharing between adjacent blocks using merge flags in video bitstreams.

Operating decoded picture buffers identically across layers reduces decoding complexity and data transmission overhead in multi-layer video systems.

Merging directional intra prediction modes into unified entries improves accuracy for curvy objects while lowering syntax costs.

Derives filter information from previously decoded neighboring blocks to reduce transmission overhead while maintaining coding efficiency.

Depth sensors capture synchronized data to guide region-of-interest selection, resolving the trade-off between rendering quality and system complexity.

Segmenting prediction modes into an MPM list and remaining modes reduces signaling overhead while maintaining image quality.

A unified quantization parameter determination method selects functions based on current color formats to manage chroma components.

A motion compensation method estimates approximate matching costs for sub-pixels based on integer pixel data to reduce computational complexity.

Decoding apparatus adjusts coded stream compression rates using hierarchical tier structures to resolve HEVC limitations in bit rate management.

A video encoder detects lost packets using negative acknowledgement signals from the medium access control layer to trigger immediate error correction.

A reception device embeds digital watermarks using outflow route information to identify content distribution paths.

Signaling a view synthesis prediction syntax element allows the encoder to omit motion information, reducing bitstream size and decoding complexity.

A decoder assigns common motion vectors to sub-blocks separated by angled line segments in a bitstream.

Adaptive oblique perceptual coding partitions video frames by visual sensitivity to reduce bit-rate while maintaining quality.

A spherical neighbor based de-blocking filter identifies block edges at face boundaries to selectively apply type specific processes.

Separate HMVP tables resolve match accuracy issues in camera video by enabling efficient current picture referencing.

Dynamic four-path tree vector quantization reduces calculation time from 510 to 310 operations by exploring multiple paths simultaneously.