Digital Video Signal Modification TRIZ Cases

Block boundary, QP, and prediction inputs help a mode-aware CNN remove video compression artifacts with better filtering efficiency.

Adjacent blocks are grouped by size, position, and vector occurrence so decoders can pick lower-cost motion vector candidates with less redundancy.

Transform-specific CABAC contexts improve coding of sign prediction errors by adapting to DCT or DST and coefficient characteristics.

Adaptive boundary strength for CIIP-coded units improves video compression efficiency while preserving picture quality during encoding and decoding.

Partitioning picture edge blocks with quadtree or binary splits reduces syntax overhead and improves moving image compression efficiency.

Multiple inter prediction modes cut motion vector redundancy in video decoding, improving compression efficiency and reducing bandwidth use.

Temporal-layer ALF selection cuts video decoding complexity by skipping or simplifying filtering while preserving visual quality.

A video encoder improves block compression by mixing affine and non-affine predictor candidates to build more flexible motion fields.

Sensitive datasets are converted into images and compared through an image-classification model to verify consistency without exposing raw data.

Bitstream layer limits and depth-color association rules simplify multi-layer RGBD decoding for real-time volumetric rendering.

Conditional affine and sub-block TMVP flags improve video compression efficiency while limiting syntax and decoding overhead.

Selecting HighestTid by operation point lets decoders apply the right HRD parameters and avoid wasted parsing in bitstream conformance tests.

Fixed MPM candidates from left and upper blocks cut intra mode signaling bits while preserving image quality in image coding and decoding.

Weighted dequantization combines shifted quantization indices to improve residual reconstruction accuracy while maintaining coding efficiency.

Using power-of-two reference pixels replaces division with shift operations, speeding block prediction and improving video encoding efficiency.

Codec independence signaling lets servers and clients identify decodable viewpoints for partial decoding and flexible re-encapsulation.

A copy flag lets the decoder infer the second reference picture list from the first, reducing redundant bits and bandwidth in video coding.

QoE-ranked graphic layers let remote XR rendering preserve critical visuals under network delay variation and frame loss.

Visual markers embedded in 360 video frames carry viewport and sync data, cutting WebRTC latency without custom RTP metadata.

A single picture header per picture unit with matched layer and temporal IDs lets decoders find picture boundaries accurately in multi-layer video bitstreams.

Combination indication signaling lets playback request only same-quality media tracks needed for decoding, cutting bandwidth waste.

Luma edge direction and strength guide chroma sample offsets to cut video bit rates while preserving quality in decoding.

Rule-based selection of second partitioning schemes for video units improves compression efficiency while limiting coding complexity and bandwidth use.

Splitting target blocks by size and shape and deriving local prediction modes improves video encoding and decoding accuracy with manageable complexity.

APS ID syntax is moved to the start of VVC picture and slice headers to cut parsing overhead while preserving decoding performance.

Temporal distance and reference-block selection improve motion vector derivation, raising video coding efficiency without added complexity.

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

Selective boundary strength setting applies deblocking only where needed, cutting artifacts and processing complexity in image decoding.

Refined EOS NAL layer signaling in VVC fixes sequencing ambiguity, preserves temporal scalability, and improves decoder interoperability.

RRIBC adjusts block vector predictors using flip-based reference regions to improve screen content compression without unnecessary encoding overhead.

Prediction samples are derived from each block's color sampling mode to cut decoder memory use while preserving practical pixel prediction accuracy.

Concatenated encoded image items let one decoder render multiple quality and resolution layers progressively without reinitialization.

Motion-vector ROI coding sharpens a specific body part in streamed video, improving analysis accuracy while limiting bandwidth and power use.

A block-size-specific deblocking filter limits input and modified samples to cut processing time while preserving edge artifact removal accuracy.

Spatial merge candidates from predefined block shapes improve inter prediction and motion compensation for high-resolution video decoding.

A preset prediction mode refines motion vector candidates to cut bit representation and improve video compression beyond conventional skip and merge coding.

Adaptive quantization and layered video encoding reduce latency and stream switching while preserving image quality across changing bandwidth.

Neighbor block LIC inheritance improves inter prediction accuracy while limiting bitstream overhead and decoding complexity.

A receiver-guided decimation pattern cuts transmitted video data while shifting heavier reconstruction work off the encoder to save power and latency.

Post-decoding ML refinement and hybrid encoder-decoder networks cut blocking, ringing, blurring, and mosquito noise in low-bitrate video.

Unified prediction across luma and chroma blocks enables parallel decoding of small chroma regions with lower complexity and faster processing.

Controls chroma residual scaling in VVC decoding using coefficient and color transform flags to improve encoding efficiency.

Private data values are mapped into images and compared through ML output scores, enabling consistency checks without exposing the data.

Template matching with block vectors improves video block prediction and coding efficiency while managing processing complexity.

Boundary matching costs let encoder and decoder derive sub-block transform positions implicitly, cutting bitstream overhead without extra complexity.

By fusing non-LM and CCP chroma prediction candidates, video coding gains better quality without undermining compression efficiency.

Scaling decoded video before reconstructing and applying film grain preserves noise texture while avoiding scaling artifacts and compression loss.

SKIP, MERGE, and AMVP intra block copy modes improve image compression by deriving block vectors from candidate lists with manageable complexity.

Small picture subblocks inherit a shared intra or inter prediction mode, reducing bitstream parsing and improving video coding pipeline efficiency.

Block-level adaptive weighted prediction uses partial neighboring samples by block size to cut decoder latency while preserving coding accuracy.