Digital Video Signal Modification TRIZ Cases

Weighted sums combine intra and inter prediction blocks to address HEVC compression limits and improve video coding efficiency.

A sign-data-hiding flag governs TSRC signaling and residual decoding, helping preserve image quality while reducing transmission and storage data.

Different Cb and Cr offsets selected by transform-unit size improve chrominance quantization for image coding across changing bandwidth conditions.

Multiple matching blocks are fused in IntraTMP prediction to improve decoding for complex samples and noise with minimal added computational complexity.

See how a mixed_nalu_types_in_pic_flag manages IRAP and non-IRAP sub-pictures, supporting lower-resolution VR streams while conserving bandwidth.

Checking whether neighboring blocks share a Motion Estimation Region lets SbTMVP set temporal vectors to zero and streamline merge-list construction.

Limited motion data from primary neighbors can leave coding-unit merge lists incomplete; secondary neighbors fill missing candidates when needed.

Adaptive reference-line modes balance coding efficiency and processing complexity in multiple-line intra prediction for video compression.

Quality indicators in video bitstreams guide neural post-processing to improve coding quality while limiting added data overhead.

Subblock affine motion compensation derives seed vectors from merge candidates to improve prediction and encoding efficiency for high-definition video.

Predefined zero-motion and neighboring-block candidates improve motion-vector prediction for stationary regions and overall coding efficiency.

Chroma blocks are split into information-dependent sub-partitions, enabling local intra prediction for varied signal and texture distributions.

Independently coded subpictures address rising video resolution and frame rates through selective decoding and partial display.

Decoder-side DIMD derives intra modes with fewer signaled bits, reducing image data while preserving reconstruction quality.

Chroma blocks derive DBV vectors from luma blocks or candidate lists to improve prediction and compression efficiency.

Independent horizontal and vertical sample sets improve gradient-based prediction accuracy in video encoding and decoding.

Mode-aware 3-tap filtering targets directional reference samples to improve block prediction and limit computation.

Chroma blocks with mixed textures are split into sub-partitions so local intra prediction can improve video coding quality and efficiency.

Frame-level color and variance statistics classify screen and natural content, selecting coding tools to lower encoder complexity while preserving video quality.

Local planar-node structure guides target context selection for bitstream decoding, improving geometric coding efficiency without significant complexity.

Adaptive candidate ordering uses temporal and quality-based reference prioritization to improve motion prediction while limiting hardware complexity.

Patch extraction and atlas transformations reduce decoder pixel processing while supporting intermediate-view synthesis for immersive video.

VVC matrix-based intra prediction derives blocks at the current N×N size, avoiding up-sampling and reducing encoding and decoding complexity.

High-definition video coding uses oriented triangular partitions and uni-prediction motion vectors to reduce redundancy.

Pixel pulse sequences encode space-time changes before reconstruction, helping capture high-speed motion with lower data rates.

Partitioning picture blocks into narrow sequential sections preserves local prediction accuracy while keeping intra-coding signaling overhead low.

This case conditionally places reference-bank motion vectors before or after derived candidates to improve MVP accuracy and reduce video coding data.

Block-size-based LFNST kernel selection applies sampled matrices during inverse transforms to improve compression while limiting complexity.

Classification selects among multiple filters for image blocks, reducing encoding distortion while limiting data for transmission and storage.

See how HDR picture coding selects in-loop and out-loop luma-chroma mapping to improve efficiency while maintaining quality at the same code rate.

Candidate quantization offsets are scored at the decoder to reconstruct transform coefficients and reduce block discontinuities.

Dependent quantization disrupts entropy contexts; significance, parity, and greatness flags support efficient coefficient coding.

Delta-angle rules select single- or bi-directional intra prediction for 90°–180° modes, improving sharp-edge coding accuracy while reducing complexity.

Horizontal and vertical bias in block vector search ranges reduces exhaustive search while improving screen-content rate-distortion performance.

Boundary CTUs gain selective extra multi-type partition depth, improving image-edge flexibility without applying added complexity to every CTU.

Entropy-guided subset selection builds image-compression context models with less computation while maintaining compression accuracy.

Template matching compares costs across multiple reference lines to select likely intra modes, reducing bits for video block reconstruction.

Learned inverse transform kernels adapt to quantization effects in video coding, reducing reconstruction errors in residual blocks and improving image quality.

Filtering adjacent reference samples before intra prediction reduces errors between original and predicted video samples for more efficient decoding.

Sequence-level flags and resampling ratios separate human viewing from machine vision needs, reducing transmitted video volume while preserving useful quality.

Deleting non-reference frames and extracting refresh frames before sampling reduces redundant video decoding while preserving core semantic representation.

Adaptive reference-line selection and mode candidates improve intra prediction, while DCT-2 and DST-7 transforms support high-resolution image compression.

Traditional block prediction can limit coding efficiency; SbTBVP uses subblocks and temporal vectors for more precise video compensation.

Bitstream flags selectively enable affine compensation and motion-vector resolutions, balancing compression efficiency against parsing complexity.

Selective OBMC decisions adapt to each video block’s characteristics, balancing coding gains against added processing complexity.

Conditional DMVR checks temporal distance before refining motion vectors, reducing unnecessary decoder work while supporting efficient video compression.

Decoder-side intra-mode derivation selects transform sets for video blocks, improving coding quality while reducing signal overhead.

Neighbor palettes are sized before merging and reused through palette indexes to reduce bits in video intra prediction.

High-resolution video coding selects a non-separable transform set by intra-prediction mode and applies its matrix to the block’s upper-left region.

Multiple non-adjacent reference sample lines raise intra-prediction accuracy for high-resolution and stereographic video.

A method signals virtual boundary information to constrain in-loop filter operations on discontinuous edges within 360-degree omnidirectional video frames.

Redundant encoders maintain synchronized states through real-time feedback, preventing content loss during device failures.

Sub-picture rate control adjusts quantization scales to limit encoded picture sizes, preventing packet drops and maintaining real-time transmission.

Selective compression prioritizes important channels as high-quality streams while compressing less critical ones, overcoming broadcast bandwidth limitations.

An image decoding device selects unique weighting coefficients based on indirect control information to perform weighted averaging of predicted samples.