Digital Video Signal Modification TRIZ Cases

A video recorder creates a new key frame at the requested playback point, avoiding burst decoding and unnecessary frame transmission.

Signals an NNPF full-range flag when output and decoded color spaces differ, enabling accurate video conversion and display.

Implicit LBCCP usage from template cost or prior coded blocks improves video coding efficiency without extra bitstream signaling.

Structured CCP candidate selection from adjacent, non-adjacent, and history-based blocks improves video coding efficiency and effectiveness.

Template matching costs guide nonlinear prediction model selection to improve video compression efficiency without exhaustive model evaluation.

Multiple HMVP tables use different update rules to expand relevant motion vector candidates and improve video coding efficiency and quality.

Conditional decoding of subblock and regular merge indicators reduces inter prediction bit overhead while maintaining prediction accuracy.

Weighted chroma prediction blends inter and luma-based cross-component blocks to improve video compression efficiency with controlled complexity.

Chroma QP offsets are parsed from palette syntax and list-entry counts to cut signaling bits and improve image and video coding efficiency.

Classical block search inside a neural video codec cuts motion-vector bitrate and improves residual-aware motion field encoding.

By matching ending and startup delays across CBR, VBR, and CVBR segments, this case reduces buffering, black screens, and artifacts.

A CNN trained on multi-size pixel blocks predicts video encoding modes, cutting traversal time while preserving image quality and compression ratio.

Using existing bitstream QP values to derive chrominance block QP cuts decoder complexity while improving coding efficiency and artifact control.

Blending two non-linear chroma predictors preserves coding efficiency when linear-model prediction is disabled for low latency or low power.

Lightweight attention modules in a composite transformation network improve reconstructed picture quality while controlling decoding complexity and time.

A Bayesian optimization and ML workflow predicts content-specific encoding parameters, improving video quality while cutting re-encoding time and compute use.

AI prediction sends differential data blocks instead of full XR streams, cutting wireless traffic while preserving communication quality.

A sequence flag and reversed last-significant coefficient position reduce coding overhead and improve decoding throughput in triple-high video.

Separate context buffers by temporal sublayer to initialize arithmetic entropy coding with better synchronization and compression.

Using three neighbor-derived candidate modes, this case cuts codeword length for intra prediction while preserving video quality.

Temporal neighboring blocks supply bi-prediction motion vector candidates, cutting explicit signaling, bit rate, and decoding overhead.

Haar wavelet chroma post-processing restores downsampled UV signals using Y-guided enhancement to improve decoding with lower complexity.

Encoded video chunks are split across computational storage units, enabling local clip decoding and reducing host processor delays.

A video recorder inserts new I-frames within long GOPs so playback can start mid-stream without burst decoding, cutting bandwidth and client load.

Texture templates and HoG-based analysis improve virtual intra prediction mode selection for more accurate transform choice in video coding.

Inter-predicted samples, gradient histograms, and template matching help derive intra modes that better fit block texture for CIIP and transform selection.

Adaptive frame skip levels use delay feedback and content characteristics to limit delay buildup while preserving real-time streaming quality.

A 6-entry MPM list lowers intra-prediction signaling overhead in video decoding while retaining broad mode coverage for coding efficiency.

NSST concentrates non-zero coefficients in low-frequency components, cutting residual data and improving image coding efficiency.

Motion prediction is constrained within tile boundaries to preserve tile independence while minimizing video coding efficiency loss.

Adaptive DPB parameter indexing for output layer sets improves image coding efficiency while limiting transmission and storage overhead.

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

Partially reconstructed and predicted samples enable low-latency template matching while preserving motion vector refinement accuracy in video coding.

Profile-specific I-picture and I-slice constraints keep video bitstreams aligned with intra profiles during encoding and decoding.

Sub-template weighting lets TIMD adapt intra prediction across block regions, improving accuracy and coding efficiency on complex textures.

Constant slice parameters are moved into the picture parameter set with an indicator flag, cutting redundant header bits and improving video compression.

Multiple context bins signal AMVR precision by coding mode, improving motion vector compression while limiting side-information overhead.

Multiple warp groups are evaluated per video block to encode rotation, zoom, and shear more efficiently while reducing data volume.

Picture- or slice-level ALF signaling improves video decoding efficiency while preserving compression gains for high-quality image data.

Syntax-based control limits low-selectivity intra modes in geometric partitioning, cutting code amount while preserving coding performance.

Neighboring wedgelet separation lines are aligned and refined to cut side information overhead while preserving block partition coding accuracy.

Multi-reference prediction blends intra and inter blocks in flat image areas to reduce visible quality gaps without hurting coding efficiency.

A slice-header length indicator lets legacy HEVC decoders skip extension data while extension-aware decoders still use it correctly.

Uses a GDR picture with a zero recovery point to enable random access decoding while improving compression efficiency and bitstream handling.

Motion information tables and grouped merge candidates improve HD video inter prediction while limiting added data and decoding complexity.

Extended ternary-tree signaling lets video decoders handle non-power-of-two sub-blocks, improving compression efficiency with controlled bitstream overhead.

Defined SEI syntax value ranges prevent decoder crashes and enable consistent bit allocation for efficient video bitstream processing.

New CRA and BLA picture constraints simplify container mapping while enabling cleaner random access, stream switching, and editing.

Slice-based CTU row organization improves video encoding and decoding parallelism while managing picture timing and buffer delays.

CRA and BLA picture constraints add flexible decoding entry points while simplifying container mapping for adaptive delivery and editing.

A video coding method applies a single residual signal across multiple color channels to generate reconstructed samples.

A video coder adjusts bitrate budgets and error resiliency based on annotation presence to optimize coding efficiency.

An encrypted image frame embeds a thumbnail and marker between image fields to enable identification without decryption.

A video decoder extracts non-zero residual coefficients and metadata to reconstruct frames using selective inverse transforms.

Dynamic filtering adjusts strength and sample counts based on block size to optimize encoding efficiency.

Multi-level most probable mode sets structure intra prediction coding to adapt binarization strategies based on candidate probability distributions.

A video decoder chipset segments decoding into lower quality baseline generation and residual data combination to reconstruct high resolution output.

Comparing acquired video images identifies differing macro blocks, reducing data volume to prevent packet loss in wireless networks.

Pre-computing workspace data via seeding reduces resource consumption during real-time codec operations.

A history-based motion vector prediction method uses a pruned candidate table to improve compression ratios while managing device complexity.

Phase offset adjustments align luma and chroma positions during base layer upsampling for scalable video coding.

A video codec uses mode-specific offsets to access a unified buffer bank, reducing memory footprint while maintaining prediction accuracy.

A video decoding method segments context model parameters into slope and offset components to calculate initial probabilities for CABAC decoding.

A hybrid boundary padding mechanism combines inter-prediction and intra-prediction methods to extend reference frames in video decoding.

Viterbi algorithm prunes trellis paths to select optimal quantization step sizes, preventing buffer overflow or underflow during variable bit rate encoding.

Geometric partition mode infers inter or intra prediction from adjacent samples, reducing bit rate without explicit signaling.

Segment video coding blocks using neighboring motion vectors to minimize boundary redundancy while maintaining low computational complexity.

Deduplicate first encoded data then re-encode with a higher compression algorithm to reduce network traffic.

A video encoder selects motion vector predictors from adjacent blocks or co-located pictures to encode current image data efficiently.

Packing partial motion vectors with video data reduces halo and break-up artifacts during frame rate conversion without increasing computational complexity.

Determining video encoding skip mode via motion parameter matching and zero coefficient checks to streamline prediction processing.

A task routing system assigns work to crowd workers using dynamic performance scores.

Copying adaptive primary transform flags from luminance to chrominance curbs coding efficiency deterioration while lowering device complexity.

Segmenting luminance and chrominance processing reduces computational resource utilization for synthetic content compression.

A video signal processing apparatus divides coding blocks into sub-blocks using directional partition information to optimize encoding operations.

A bi-prediction coding method scales motion vectors based on temporal distances to generate prediction blocks for video decoding.

Deriving sample position parameters to generate weighted prediction samples, reducing residual bits and lowering transmission costs.

Dynamic reference hierarchy updates based on receiver acknowledgements reduce bandwidth consumption and latency during base layer frame loss recovery.

A compression method groups coefficients and removes sign bits for zero values to reduce data volume.

Recursive block partitioning divides images into sub blocks to manage boundaries, resolving compression efficiency losses from fixed block sizes.

Decoder selects active attribute sub-bitstreams via SEI messages, reducing bandwidth usage while maintaining visual volumetric content quality.

Segmenting metadata into legacy and HDR syntax structures resolves the trade-off between transmission efficiency and decoder compatibility.

Separating foreground and background processing in immersive video atlases removes redundant data to improve encoding efficiency.

Rotating video frames aligns objects with block boundaries, reducing artifacts and improving motion prediction accuracy in compressed streams.

A quantization parameter predictor derives current coding unit values from neighboring parameters to reduce encoding complexity.

A method filters reference pixels using adaptive block sizing to improve image coding efficiency.

Image encoding device sets cross-slice reference parameters to enable motion prediction across slice boundaries.

Asymmetric weighted bi-predictive merge constructs candidates with unequal reference weights to optimize inter-coded video block motion information.

Selective post-filtering at block boundaries improves boundary smoothing while removing computational overhead from interior regions.

Padding unavailable neighboring luma samples simplifies down-sample filtering complexity while maintaining chroma prediction accuracy.

Hybrid recursive filters process predictive block samples in parallel to generate filtered values for video decoding.

Piece-wise polynomial predictors clip mapped codewords to prevent object fragmentation artifacts in homogeneous video regions.

Integrating decoder side intra modes into the most probable mode list to resolve coding efficiency and robustness trade-offs.

Segmenting images into importance-based regions lowers data volume while maintaining machine vision recognition accuracy.

Aligning residual coding block sizes with transform skip mode limits optimizes lossless video decoding performance.

Segmenting block vector generation into base candidate selection and difference calculation improves coding efficiency while managing device complexity.

A video processing method determines motion information of geometric partitions using motion vector differences to improve encoding efficiency.

A media aware network element processes SEI messages to filter unnecessary atlases from immersive video bitstreams, reducing bandwidth and processing load.

Partition prediction blocks into symmetrical rectangular transform blocks to determine orthogonal transformation types based on positional relations.