Digital Video Signal Modification TRIZ Cases

A hybrid neural decoder combines cross-resolution and spatio-temporal representations to compress video at lower data rates while preserving visual fidelity.

When luma encoding mode is unavailable, setting direct mode as the chroma default improves candidate selection and video coding efficiency.

Constrained optimization builds video encoding ladders that satisfy multiple ladder constraints at once, improving QoE while reducing storage footprint.

Conditional signaling of transform skip and primary transform flags reduces redundant entropy-coded bits while preserving video quality.

Redundant frame header data is compressed and reconstructed at playback to cut media bandwidth and storage without losing quality.

Adaptive weight prediction handles global and local brightness changes in inter prediction, reducing residual signal energy during image decoding.

Partial video data loading and region-based ME search ranges cut memory access cost while preserving extended motion estimation performance.

Fewer CABAC contexts and shared context indexing cut derivation complexity while preserving video compression efficiency and decoding stability.

Selective secondary transform skips 4×4 video blocks to cut encoding complexity and processing time while preserving video quality.

Motion vector prediction and residual decoding cut mesh encoding data size while preserving accurate vertex reconstruction.

Flag-based last-coefficient position reversal cuts decoding overhead and improves speed for high-bit-depth, high-bitrate video.

Grouping consecutive mesh vertices under one motion-vector mode cuts bitstream data while preserving prediction-based decoding accuracy.

Selective secondary transforms skip 4×4 and smaller video blocks to cut computation and memory while preserving efficient encoding.

Candidate list reordering and bidirectional prediction improve image block accuracy while reducing signaling bits and compression overhead.

SEI-based neural post-filter signaling clarifies filter selection and activation, improving image decoding efficiency with lower bitstream overhead.

Frame tiles are stabilized and packed into color channels to compress WAMI imagery by about 97% for faster network delivery and smoother playback.

Two-dimensional SEI coordinates let decoders signal multiview positions more precisely, improving compression efficiency and rendering accuracy.

Non-sample-value ALF taps use positional and coded block information to improve video quality without adding heavy filtering overhead.

Transpose indexes guide chroma ALF selection and geometric transforms to improve video quality and coding efficiency in chroma blocks.

By storing part of the slice header in the container file, this case cuts 360 video streaming overhead and reduces bandwidth use.

Decoder-side bi-prediction weight derivation cuts CU-level signaling while preserving prediction accuracy and compression efficiency.

Compressed USB image data is rebuilt into redirect transfer messages to cut bandwidth use and improve remote video device responsiveness.

Neighbor-based split prediction guides coding unit partitioning to improve high-resolution image quality with less decoding computation and data.

When top or left chroma neighbors are unavailable, reduced or expanded sample regions keep LM intra prediction accurate while limiting buffer use.

CABAC-based residual coding with transform skip and BDPCM cuts coefficient bits and improves video coding efficiency for bandwidth and storage.

Temporal-layer QP offsets reuse reference-frame quantization to cut per-frame bitrate-control overhead while preserving coding efficiency.

Selective DMVR and BDOF refine inter-prediction motion vectors only for suitable blocks, improving compression efficiency while limiting decoding complexity.

Selective DMVR based on prediction mode refines L0/L1 motion vectors from minimum SAD to improve inter prediction with lower decoding complexity.

Co-located luma units guide chroma block vector prediction to cut bit usage for unlikely directions and improve video compression.

Representative motion information cuts motion-memory load while preserving inter-prediction accuracy and reducing coding overhead.

Scaled motion vectors from co-located blocks improve inter-prediction accuracy for high-resolution image encoding and decoding.

Position-dependent pixel weights improve block prediction accuracy, reducing spatial and temporal redundancy in video coding.

Histogram-ratio weighting aligns reference and co-located luma distributions to improve chroma prediction accuracy in video coding.

Merge identifiers enable bitstream-level video compositing by adjusting syntax elements instead of full decoding, cutting merge complexity and load.

A variable-size ring buffer decouples pixel processing and entropy coding speeds to prevent frame drops and preserve video quality.

Conditional signaling of chroma deblocking parameters cuts bitstream size and processing load while preserving image quality in video coding.

Stored illumination compensation parameters remove dependence on neighboring reconstructed pixels, cutting decoder latency with minimal memory overhead.

Bits are shifted to viewer-relevant regions based on user preferences and bandwidth, preserving key video quality while cutting server load and storage.

Reference-image contextual features guide conditional video coding to improve compression efficiency and reconstruction quality.

Sequence-level buffer descriptions cut redundant long-term reference signaling and improve coding efficiency in video bitstreams.

Ordered coding of horizontal and vertical motion vector difference portions increases decoding parallelism and reduces image processing delay.

Boundary-aware sub-block prediction cuts memory use in multiple reference line decoding while preserving intra prediction accuracy.

Filter-based refinement of video prediction and reconstruction improves coding efficiency while preserving prediction accuracy in compressed video.

Latent audio-video alignment handles varying frame and sample rates without frame conversion, reducing manual sync checks and artifacts.

Partitioned reference-point buffering improves point cloud attribute prediction while balancing memory use, processing complexity, and transmission size.

Decoder-side intra mode derivation reduces bitstream signaling while preserving prediction accuracy for more efficient image decoding.

Combining intra block copy with template matching improves video coding efficiency by balancing bit rate use, prediction accuracy, and decode complexity.

Selected neighboring samples and filtered reference values simplify chroma linear-model prediction and improve video coding efficiency.

Adaptive large macroblocks with partition-based intra prediction cut coding bits while preserving boundary prediction accuracy in video decoding.

Chroma side information guides adaptive loop filtering to cut artifacts and improve video coding efficiency without excessive filtering overhead.

Sequential intra prediction across shared-mode sub-blocks improves high-resolution video decoding efficiency while reducing transmission and storage costs.

Dynamic template length selection uses block boundary position and available reference lines to cut buffer use and signaling overhead in intra prediction.

Frame differences mapped into image blocks with metadata preserve alpha transparency, cut artifacts, and support cross-platform playback.

Using 2 upper and 2 left chroma samples with down-sampled luma, this case improves CCLM decoding efficiency for high-quality image compression.

Selective RAHT uses node counts to skip unnecessary transforms, cutting point cloud attribute coding complexity and redundancy.

An asymmetric deblocking filter reduces block artifacts in video coding by modifying fewer samples on one side of an edge to preserve quality with low complexity.

Removing unavailable prediction modes and filling boundary reference pixels cuts coding redundancy and improves block-edge decoding.

Adaptive sub-picture resolution uses SEI signaling and inter-layer prediction to balance video quality with bandwidth and device limits.

Block-size-adaptive intra mode lists simplify small-block reconstruction while preserving coding accuracy and compression efficiency.

Applies DMVR and BDOF to bi-predicted blocks with unequal POC distances, extending use cases while improving video coding quality.

Indication flags shift tool signaling between picture and slice headers, improving video compression and block decoding efficiency.

Pre-extending reference pictures with a wider field of view improves video prediction accuracy, compression efficiency, and reconstructed picture quality.

CTU-based subpicture coordinates let encoders and decoders identify rectangular regions with less code, improving video coding speed and load.

Dependency indication information groups point cloud attributes for partial access, correct decoding, and personalized presentation.

A co-located luminance displacement vector predicts chrominance blocks, improving coding efficiency when luma and chroma partitions differ.