Digital Video Signal Modification TRIZ Cases

Adaptive SAO class selection matches pixel value distributions to improve video coding efficiency, visual quality, and motion estimation.

Bitstream energy metadata lets decoders decide when to apply neural network post-filters, balancing video quality against power use.

Interpolated MIP2 prediction mixes adjacent matrix modes with angular intra prediction to improve coding efficiency without excessive storage.

When transform-less residual coding is used, switching away from transform-based distortion metrics improves estimation accuracy and coding efficiency.

A video-specific dictionary approximates INR head-layer parameters to improve compression efficiency while lowering decoding complexity.

Adaptive regularization tunes prediction filters for IntraTMP and IBC blocks to improve video compression with lower processing overhead.

Adaptive quantization for palette escape values cuts signaling overhead and improves compression of high-quality screen content.

Adaptive MVR offset sets and codeword switching improve geometric partition motion accuracy while limiting signaling overhead in video decoding.

SEI-based warping stabilizes decoded pictures by resampling pixel positions, cutting video redundancy while limiting extra decoding overhead.

Differentiated track references for VVC operating points simplify file transport and improve coding efficiency for high-quality media delivery.

Resampling and spatial scalability parameters let subpictures change resolution within one coded stream, cutting bandwidth and storage needs.

Dynamic motion vector precision and range selection improves high-resolution video compression while limiting bandwidth and coding complexity.

Critical image regions are checked after generative compression and re-encoded conventionally to limit hallucinations while keeping bitrate low.

Sub-block intra prediction uses selective reference pixel filtering and interpolation to improve encoding efficiency without excess processing.

Distortion-based reordering of merge candidates improves image compression efficiency while helping control transmission and storage costs.

Long-term reference frames and empty block encoding keep video streams running during bandwidth shortages while avoiding decoder failures and timeouts.

Adaptive quantization by bitstream subdivision level improves video block decoding across varying partitions and luma-chroma constraints.

Dependency-based syntax gating skips unnecessary transform skip and palette signaling to reduce bits and improve video coding efficiency.

By deriving POC values from max LSB and non-reference flags, this case improves inter prediction while avoiding deleted reference pictures.

Sample groups pre-indicate AUD, EOS, and EOB units so parsers can rebuild scalable video bitstreams with less decoding complexity.

Conditional syntax signaling lets decoders identify application-specific neural post-filters while limiting bitstream overhead and improving video quality.

Reducing context-coded bins in CABAC eases feedback-loop bottlenecks, raising video codec throughput for high-resolution playback.

Predicted scaling from neighboring luma and chroma samples improves CfL intra prediction accuracy while lowering decoder signaling complexity.

Separate quantization matrices for different transform block sizes preserve coefficient control and improve subjective image quality in image decoding.

Selective signaling of subblock merge, MMVD, and partition prediction improves block coding efficiency while containing decoder complexity.

Multiple VLC tables encode motion vector predictors and differences to lower video bit rate while preserving robust decoding.

An audio-clock-driven counter lets video components sleep between active frame regions while preserving audio/video sync with minimal drift.

Spatial displacement vectors extend intra block copy search beyond the current CTU, improving video coding efficiency without increasing reference-pixel memory.

Multiple attribute headers make point cloud frame encapsulation and transmission more flexible, improving storage and standardization of large-scale media.

Combining sub-template samples from two reference lists with LIC and OBMC refines motion candidates and improves video coding efficiency.

Temporal offset vectors from neighboring blocks improve subblock motion prediction while fallback vectors keep video coding complexity manageable.

Minimum-dimension quantization control resolves VVC ambiguity in rectangular sub-block splitting while improving coding efficiency and bitstream size.

Selective CU chroma QP offset signaling improves chroma coding efficiency while reducing decoder buffer requirements and transmission overhead.

Selective decoding and dynamic decoder state switching cut video power use while preserving reference frames for stable playback.

Adaptive inter prediction disables OBMC when BIO is used, cutting video coding processing time and circuit size with little coding loss.

Refined chroma motion vectors use reconstructed luma or chroma blocks to improve video compression efficiency without extra signaling.

CTU-level NN layer selection and pre-classified ALF cut video decoding time while preserving adaptive filtering accuracy.

Selective 3D frame analysis handles zoom, rotation, and scale changes to cut bitstream size and avoid unnecessary video encoding calculations.

Neighbor-based linear intra prediction improves block prediction accuracy and compression efficiency without excessive encoding complexity.

Multi-stage motion vector search improves inter, intra block copy, and template-based prediction for better image compression efficiency.

Packing geometry, texture, occupancy, and attribute data into one frame cuts decoder count and enables immersive volumetric video on mobile devices.

Using non-adjacent neighboring blocks and template matching, this case improves video block prediction accuracy while lowering bit rate.

Shared statistical parameters refine restored feature tensors after compression, improving machine vision analytics and inference efficiency.

Aligned boundary-sample downsampling cuts averaging and shift operations in matrix intra prediction, reducing codec complexity and latency.

Jointly trained pre- and post-processing ANNs use a neural codec proxy to improve perceptual quality and bitrate efficiency with standards-based codecs.

Selective intra smoothing and PDPC on indexed reference lines improve video decoding efficiency while avoiding unnecessary processing.

Chroma block classification guides adaptive loop filtering for luma and chroma, reducing artifacts and improving video coding quality.

Adaptive MTS selection by current-block prediction mode improves image compression efficiency while limiting transmitted bits and storage cost.

Probability-based entropy skip decisions reduce bit rate overhead while preventing artifacts in reconstructed pictures.

Block-group indicators reshape reference image lists so decoders improve low-bitrate prediction accuracy while limiting redundancy and list-management overhead.