Digital Video Signal Modification TRIZ Cases

Block-based warping, parallel entropy decoding, and quantized neural coding cut compute 9× for real-time full HD mobile video decoding.

Large inter-prediction units are split into VPDU-sized blocks so BIO cost calculation needs less buffer memory and simpler hardware.

CRA and BLA picture rules allow cleaner random access and simpler container mapping for fast seek, rewind, editing, and stream switching.

Segmentation-guided deblocking avoids filtering across object boundaries, reducing blocking artifacts while preserving image detail and coding efficiency.

Shared encoder decisions across quality layers cut transcoding and storage overhead while preserving flexible video streaming.

Boundary-based reference picture lists improve temporal-level switching, limit error propagation, and preserve coding efficiency.

Multiple candidate intra modes from neighboring blocks shorten codewords and improve video compression efficiency for transmission and storage.

SEI-based neural-network post-filter signaling helps decoders identify and activate the right filter while preserving image quality at lower bitstream cost.

Selecting diverse low-cost block vector predictors cuts signaling overhead while improving reference block prediction in video encoding and decoding.

Separate coding schemes for Cb and Cr in a video block improve chroma coding quality without relying on one uniform approach.

Palette partitions and identity flags cut color-index bits in video blocks with few colors, improving compression efficiency.

Only the frames near the requested start time are transcoded, enabling precise video extraction with lower hardware load and faster delivery.

Upper-level signaling of entry point information with tiles and WPP cuts coding overhead and improves high-quality video compression efficiency.

Unified motion vector rounding and clipping keep inter prediction values within bit-depth limits, avoiding overflow and decoding ambiguity.

Adjacent coding units provide transform information for current blocks, cutting bit rate use and improving video decoding efficiency.

Signaled chroma QP mapping lets image decoding match image characteristics, improving compression efficiency without default-table limits.

Differentiated ordering of NNPF SEI messages improves video quality enhancement while limiting bandwidth use and decoding complexity.

Region-level SAO and ALF signaling cuts encoder delay and memory use by interleaving filter parameters with encoded video data.

Selective filtering of CCP-based chroma prediction improves video coding quality and efficiency without always adding processing overhead.

Selective transform inheritance adds merge candidate transform and motion data by block size, improving video compression and decoding.

Multiple DCT, DWT, and SVD-embedded identifiers keep AI-generated images traceable after alteration while preserving image quality.

A predefined most probable mode list cuts decoding complexity in multi-hypothesis block prediction while preserving video quality.

A hybrid entropy model combines temporal latent priors, dual spatial priors, and flexible quantization to improve video codec RD performance.

Selective color space conversion adjusts block quantization and residual resetting to improve image coding efficiency without unnecessary processing.

Ledger-based validation checks altered media before re-encoding trusted copies for playback across client systems with different capabilities.

OBMC-guided flag control lets affine-coded video units apply sample-based affine processing more flexibly while improving coding quality.

Independent long-side and short-side transform selection improves video block compression efficiency, lowers bit rates, and preserves quality.

Selecting a collocated block's listed reference picture improves video coding efficiency, cuts bandwidth use, and preserves decoded quality.

Diagonal block partitioning and adaptive merge candidate lists improve inter prediction accuracy, boundary quality, and memory bandwidth use.

Tile description metadata enables direct access to image regions in encapsulated files, supporting ROI extraction and interactive streaming.

Template matching for IBC and IntraTMP improves video coding efficiency by refining motion information without exhaustive candidate evaluation.

Classification-based scaling adjusts sub-pel correction precision to improve reconstructed video samples while limiting coding complexity and data volume.

Guiding block vectors relocate chroma blocks to better reference positions, improving CCP prediction precision without heavy model complexity.

Separate temporal layers into marked media tracks so devices can decode only needed layers, improving reconstruction flexibility and compute use.

Tile-group ROI decoding limits processing to overlapping video regions, cutting decoder complexity and mobile power use.

Block-level selection between default and explicit weighting cuts affine inter prediction complexity and reduces video coding delay.

Adjusts all-zero quantized blocks into nonzero coefficient blocks that still decode to zero residuals, improving codec flexibility and compression.

Non-redundant transform pair selection streamlines alternative transform sets to improve video compression efficiency in decoding.

Block-size-based constraint signaling lets encoders switch coding tools per block, balancing video quality, compression efficiency, and bitstream overhead.

Different transform index derivation modes by intra prediction mode improve video coding efficiency while limiting decoding complexity.

Selective spatial tuning of bottom CTU nodes improves CABAC context use, boosting video compression efficiency without full complexity growth.

Combined-cost reordering of chroma intra prediction modes improves dual-tree video coding efficiency in intra-coded regions.

Adaptive color transform and quantization clipping reduce image bitrate and storage cost while preserving decoding stability for high-resolution content.

IRAP rules applied at sub-picture level block invalid references in mixed NAL streams, enabling lower-latency VR video decoding.

Global motion vectors from headers and adjacent blocks cut motion signaling bitrate while preserving prediction accuracy in video decoding.

Weighted policy scoring balances pre-transcoded storage and on-demand video transcoding to cut storage load while keeping delivery fast.

Adaptation signals tune a neural probability model so one learned codec can handle multiple bitrates and reconstruction qualities efficiently.

Conditional chroma prediction signaling by palette mode cuts bitstream overhead and improves image coding efficiency for high-quality images.

SEI signaling marks used, unused, or unknown encoder optimizations so decoders can align processing in machine-centric video streams.

Nonlinear luma-based filters use square and gradient values to improve chroma block prediction accuracy without sacrificing decoding efficiency.