Digital Video Signal Modification TRIZ Cases

Flag-based picture timing signaling derives output times when NAL and VCL HRD parameters are absent, cutting bitstream overhead in decoding.

Picture-level statistics assign one adaptive loop filter set across multiple blocks, improving compression efficiency without iterative block processing.

Dynamic bitrate, frame rate, and ROI control adapt video encoding to scene complexity, cutting bandwidth while preserving visual quality.

Luma-based chroma loop filtering improves image/video compression efficiency and visual quality while reducing bit rate for transmission and storage.

Subblock-based filter selection uses local gradients and RPR phase sampling rates to improve video reconstruction without secondary ALF.

A unified SEI message carries total temporal sub-layer and HRD data, cutting decoder parsing complexity and bitstream overhead.

By limiting resolution changes to random access pictures and resampling mismatched references, this case cuts coding load and memory use.

A fixed HMVP candidate list across image blocks removes inter-block dependencies and enables faster parallel video encoding and decoding.

Pre-restored neighboring samples and gradient histograms derive intra prediction modes to improve video coding efficiency and image quality.

Adaptive BVD pixel resolution cuts signaling overhead for large block vector differences while preserving intra block copy accuracy.

Block-based step size scaling helps trellis coded quantization exploit coefficient correlations for better entropy coding and smaller video data.

Content detection selectively enables chroma coding tools during video-bitstream conversion to improve coding efficiency without unnecessary complexity.

Neighbor-mode histograms guide transform kernel selection in intra decoding, improving compression efficiency and block reconstruction quality.

Joint luma-chroma adaptive loop filtering combines and clips coefficients to improve coding efficiency and image quality with lower circuit scale.

Conditional SPS flags signal DPB parameters only when needed, reducing bitstream overhead while keeping video reconstruction consistent.

Reordered transform coefficients based on intra prediction mode improve image coding efficiency while limiting secondary transform complexity.

Dynamic frame padding scaled to reference picture size cuts video coding memory use while preserving motion vector accuracy and coding efficiency.

Adaptive block vector predictor reordering excludes invalid candidates and improves video coding efficiency with manageable decoding complexity.

Multiple encoders create IDR-starting segments with fragmented metadata so live streams can start playback immediately with frame-level latency.

A video encoder compares scalar and trellis-coded quantization paths, then selects lower-cost indices to improve entropy coding efficiency.

Conditional wrap-around flag signaling uses sequence flags and luma block size to improve VVC coding efficiency while limiting bitstream overhead.

Combining weight derivation with multiple prediction modes improves block prediction while limiting signaling overhead in video coding.

Weighted averaging of MPM-derived intra prediction blocks cuts transmitted mode data while keeping decoder complexity and decoding accuracy in balance.

Selective wrap-around control avoids unnecessary signaling when reference picture resampling handles adaptive resolution changes in video coding.

Power-of-two derivative lookup tables refine intra prediction angles for non-square blocks, improving compression accuracy with lower decoding complexity.

Context-based multiplier scaling improves trellis quantization of transform coefficients, boosting entropy coding efficiency in video encoding.

TCQ-based quantization groups correlated coefficients and uses context-modeled symbol coding to improve video compression efficiency.

Adaptive MPM mapping replaces static non-selected mode lists to simplify intra decoding while improving video compression efficiency.

Machine learning predicts future viewing and network needs to keep only useful video ladders, cutting storage while limiting stalls and rebuffering.

A low-bitrate, low-frame-rate trick play stream enables rewind and fast forward on memory-limited clients without storing large video buffers.

Intermediate scaling factors and selective LFNST improve video decoding efficiency while limiting transform complexity for different block types.

Gradient-based weighting of left and upper prediction samples improves intra prediction precision and reduces artifacts in high-resolution image coding.

Combining multiple spatially similar pixel lines into a virtual reference line improves intra prediction accuracy without excessive reference-line complexity.

Decoder-side DMVR and BDOF refine bi-predicted SbTMVP subblocks to improve motion accuracy, compression efficiency, and video quality.

Geometry-based and video-based point cloud compression cuts encoding complexity and latency while preserving 3D quality for VR and self-driving.

Two bitstream flags separate spatial scalability from adaptive resolution change, enabling flexible video decoding with lower signaling complexity.

Conditional prediction mode resets by slice type and block size cut signaling bits in image coding while preserving reconstruction quality.

Non-rectangular image block partitions with motion vector prediction improve video coding efficiency while managing partition processing complexity.

Variance-based coding unit split decisions avoid unnecessary HEVC recursion, reducing computation while preserving compression performance.

Reference-channel prediction decodes target feature channels more efficiently across large AI image datasets while maintaining prediction accuracy.

Viewport and non-viewport tile bitrates are combined into a full-picture estimate, improving ABR decisions for omnidirectional video streaming.

Weighted intra- and inter-prediction improves motion signaling and coding efficiency for current video blocks during encoding and decoding.

Variable intra mode sets matched to block size cut signaling overhead while preserving intra prediction accuracy in video coding.

ROI signaling in spherical and projected video spaces cuts 360-degree transmission and rendering load while preserving viewport quality.

Frame substitution in a CDN embeds detectable watermarks in selected video frames to trace piracy while limiting processing load.

Rectangular video sub-partitions use adaptive wide-angle prediction and parent-block reference samples to improve compression efficiency.

When decoded and reference blocks use different resolutions, matching both to a target resolution enables accurate motion vectors and reduces frame distortion.

Lossless sample compression inside ISOBMFF files cuts uncompressed media storage and transmission costs while preserving indexing and random access.

Adaptive pel-interval candidate construction expands vector search directions while cutting video coding delay and computation.

A single DCT matrix supports multiple block sizes to lower transform complexity and memory use while preserving video coding efficiency.

A decoding method generates final prediction samples using a sample unit weighted sum of first and second prediction blocks.

Segmented boundary filtering uses pixel subsets to reduce computational expenses while maintaining accuracy.

A moving image encoding device calculates offset values based on flat area determination parameters to select optimal intra-prediction modes.

A transform-based image coding method applies Low-Frequency Non-Separable Transform or Multiple Transform Selection to derive residual samples from coefficients.

Adaptive binary and quadtree splitting of coding units reduces hardware design complexity while maintaining high-resolution image compression efficiency.

An encoder splits image blocks into partitions and adjusts prediction generation based on partition geometry.

A joint components secondary transform merges Cb and Cr coefficients to reduce statistical redundancy in video encoding.

Cross-tile reference selection during inter prediction reduces discontinuous noise at tile boundaries, improving decoded image quality.

Entropy encoder limits binarized symbols per output unit via CABAC and bypass encoding, adding padding data to maintain independent decodability.

Decodes video streams by extracting adaptation parameter sets before video coding layer units, resolving bandwidth waste from fixed-size reference pictures.

A video decoder estimates user viewing experience using sensor data to select optimal codec parameters.

Spatial tracks and base track reconstruct bit-streams from partitioned video, reducing metadata overhead for adaptive streaming.

An adaptive transform kernel selection mechanism improves compression efficiency by accommodating various block movements and object shapes within a block.

Pre-encoding geometric transforms align left and right eye images to minimize differences, reducing artifacts and improving compression efficiency.

A POC resetting period identifier signals slice-level resets to recover picture order count values in multi-layer video coding.

Signaling low dynamic range parameters via syntax elements improves coding precision while managing overhead.

PPS-level palette predictor initialization reduces redundancy and improves coding efficiency by disabling unnecessary resets.

Adaptive cross-plane filters use luma data to restore chroma edges while minimizing bitstream overhead through parameter changes.

Calculates brightness-based weighting parameters for bidirectional prediction blocks to resolve low accuracy caused by fixed weight assignments.

A video compression apparatus partitions bitstreams into independently decodable regions to enable selective transmission of specific content areas.

Parsing weighted prediction syntax in picture headers reduces signaling overhead while maintaining high-resolution image quality.

Dynamic SAO skip decisions reduce unnecessary processing while maintaining subjective quality across varying bitrate constraints.

A streaming video player detects timing anomalies by comparing motion vectors across temporal content portions to adjust playback operations.

Applies adaptive bilateral filtering to reconstructed image blocks, compensating for information lost during coefficient truncation to maintain quality.

A unified context model decodes syntax elements using shared probability estimates across prediction types.

A video coding method modifies prediction values using a proportionality coefficient derived from reference blocks to maintain consistent picture quality.

An image encoding method uses an ovoid search area shape to minimize unused data loaded into cache memory during motion estimation.

Adaptively builds an MPM list based on predicted sample counts to resolve coding efficiency trade-offs in video compression standards.

Estimating Lagrange multipliers and quantization parameters enables stable quality during motion without pre-processing overhead.

Unified syntax elements enable short slice headers across partitioning schemes, resolving the trade-off between coding efficiency and decoding complexity.

Reorders Most Probable Modes using neighboring block data to improve encoding efficiency despite increasing video data volume.

Computes luma-chroma residual coefficients to predict chroma data, reducing residual energy and improving compression efficiency.

Clip processing limits transformation coefficients to prevent dynamic range overflow, reducing encoding load and buffer requirements.

A prediction model generates filter coefficients from neighboring reconstructed samples to compensate for local illumination changes in video blocks.

Selective LFNST matrix application reduces bit rates for high-resolution media while maintaining compression precision.

Distinct network abstraction layer unit types indicate broken link pictures without entropy decoding overhead.

Zero-order exponential Golomb coding parses ALF filter coefficients to reduce signaling overhead while maintaining high-resolution image quality.

Segmented register arrays reduce memory access time while maintaining coding accuracy in video encoding systems.

Variable-length coding adapts intra-frame skip mode signaling to upper-layer data unit types, reducing bitstream overhead when the mode occurs rarely.

A scalable video encoding method generates weight coefficients based on temporal brightness variation between reference frames to perform weighted motion prediction.

Applying low-frequency non-separable transform selectively to sub-partition blocks reduces data volume while maintaining high-resolution image quality.

Segmenting picture borders into smaller blocks via a partition tree reduces bit signaling overhead while maintaining compression efficiency.

Segmenting image data into high and low quality portions reduces storage requirements while preserving fidelity in important areas.

Generating affine motion vector prediction candidates without clipping operations reduces bandwidth and computational complexity in video coding.

An affine homographic model maps block motion fields to render reference frames for video coding prediction.

Predicting residual coefficient signs reduces bit rate costs while maintaining image reconstruction quality.

An arithmetic decoding device segments syntax elements to apply context-based and context-free processing methods.