Digital Video Signal Modification TRIZ Cases

PPS signaling switches reference picture list construction between picture and slice level to balance decoding complexity, adaptability, and overhead.

Padding, zero-out transforms, and dyadic TU splitting improve non-dyadic block coding efficiency while limiting video processing complexity.

Using predefined and adaptive templates, this case cuts motion-vector refinement latency without waiting for fully reconstructed blocks.

Flag-driven merge offset coding refines motion information from block regions to improve inter prediction in high-definition video compression.

Pruned BVD candidates improve magnitude prediction and cut signaling overhead, helping video encoders and decoders compress blocks more efficiently.

Conditional SPS signaling of PTL, DPB, and HRD data cuts bitstream overhead while preserving reliable output layer set decoding.

SEI flags and confidence levels help decoders handle progressive, interlaced, duplicate, and mixed video content with less guesswork.

A bitstream flag distinguishes raster and rectangular tile groups, simplifying syntax while improving coding efficiency and decoder parsing.

Selective DMVR and BDOF use block size and bi-prediction weight index to raise coding efficiency without unnecessary decoding complexity.

Signaling only motion vector differences and bi-prediction flags reduces bit waste and signaling complexity in high-resolution video coding.

Residual prediction and decoder-matched intra mode selection cut residual and mode-signaling bits for better image coding efficiency.

Bitstream-guided first-mode selection narrows second-mode search to speed image coding while preserving prediction accuracy and reconstruction quality.

Selective recursive splitting of boundary blocks improves image-size handling, compression efficiency, and neighboring block use.

Multiple reference lines, sub-block prediction, and selective filtering improve intra-frame coding accuracy and efficiency for high-resolution images.

Channel attention, window attention, and GELU-based entropy coding improve optical-flow prediction for high-resolution, low-latency video compression.

Neighboring spatial or temporal blocks predict coding unit splits, reducing partition overhead while preserving high-resolution reconstruction quality.

Syntax elements constrain frame reordering latency so decoders can output reconstructed frames sooner in real-time video communication.

Cross-component residual models improve video coding efficiency and coding gain by exploiting luma-chroma correlation in video units.

Prebuilt MPM lists and conditional planar signaling improve intra prediction with multiple reference lines while limiting bitstream and signaling overhead.

Asymmetric deblocking across unequal image blocks cuts pixel value errors at discontinuous boundaries and improves subjective image quality.

New CRA picture types and decodability flags simplify container mapping while enabling smoother fast switching, editing, and adaptive video delivery.

Separating SPS and GPS in a neural point cloud bitstream improves compression flexibility, storage, and transmission for 3D data.

Weighted averaging of multiple reference-frame contexts improves video entropy coding accuracy while reducing signaling overhead.

Restricting NNPF SEI use to non-discardable pictures keeps encoder and decoder picture lists aligned while supporting efficient compression.

Bitstream signaling of MIP mode cuts VVC intra prediction complexity and storage needs while preserving encoding and decoding performance.

Threshold-based DST-7 and DCT-2 selection improves intra transform block compression while preserving picture quality in video coding.

Picture- and slice-level reference picture list signaling reduces coding overhead while keeping inter-prediction adaptable to local blocks.

Sharp pest-trap images are split into tagged segments for reliable low-bandwidth transmission, then reassembled for remote swarming evaluation.

Adaptive AF4 and AF6 affine prediction cuts video coding complexity while preserving encoding efficiency for high-resolution, high-frame-rate content.

A shared bitstream flag combines block merging and skip mode to cut side information and residual transmission while preserving flexible picture subdivision.

Dependency-based parsing skips unnecessary transform skip and palette syntax elements to cut bit signaling and improve image and video coding efficiency.

Flag-based candidate groups and neighboring block modes streamline intra prediction, cutting non-MPM overhead in video encoding and decoding.

Overlapping wavelet coefficient groups let parallel channels decode image strips independently, cutting synchronization delays and cache misses.

Conditional signaling of chroma fusion merge flags cuts unnecessary bit overhead while preserving cross-component prediction accuracy.

Multiple estimated prediction modes let the decoder restore block prediction with shorter signals, cutting data volume and coding distortion.

Selective cropping, masking, and compression cut arthropod monitoring image size while preserving detection and identification detail.

An affine candidate motion vector list reuses neighboring control-point data to cut memory reads and speed video encoding and decoding.

Picture-area flipping and rotation improve compression for gaming and vertical video while keeping decoding complexity manageable.

Conditional DMVR and BDOF skip weighted prediction cases, cutting bi-directional decoding complexity while preserving image quality.

Block-size-based transform basis selection cuts unnecessary second transforms, lowering video encoding and decoding processing load.

Template matching reorders IBC block vector precisions to improve compression efficiency while limiting resolution selection overhead.

Decision-guided skipping of unnecessary motion estimation cuts inter-frame coding overhead and speeds compression with minimal rate loss.

VVC subpicture tracks and slice mapping keep immersive media files complete while lowering storage and transmission overhead.

Separate CABAC contexts for affine and other inter-prediction modes improve affine flag modeling and boost video compression efficiency.

Signals tile counts, slice heights, and cross-tile filtering flags to cut video decoding complexity while preserving precise picture partitioning.

Hierarchical splitting of boundary blocks handles arbitrary image sizes while preserving neighboring block prediction for better compression.

Subpicture flags and slice-based picture partitioning improve decoding and compression efficiency while lowering image transmission and storage costs.

Affine candidate motion vectors from neighboring blocks improve video block prediction accuracy and coding efficiency without sacrificing image quality.

Adaptive UBT, UQT, EQT, and ETT partitioning improves video compression efficiency while reducing bandwidth demand across diverse coding conditions.

A signaled indicator enables loop filtering only on reconstructed frames that benefit from it, improving decoding quality without wasted processing.