Digital Video Signal Modification TRIZ Cases

Video decoder constructs a candidate list of motion vectors and refines them using bilateral matching to generate predictive blocks.

Adaptive control flags signal camera parameters only when depth-oriented tools require them.

A deblocking filter processes reconstructed pixels within the encoding loop to derive filtered values for mode selection.

Position-dependent shift variables in adaptive loop filters modify reconstructed samples, reducing artifacts while managing processing complexity.

A video decoder applies a block size restriction to prevent splitting blocks below a minimum area threshold.

Down-sampled luma samples bridge inter-channel correlation gaps, enabling accurate chroma prediction while reducing video data size.

A data compressing section divides captured images into regions based on depth thresholds to establish variable detail levels.

A video coding apparatus disables multiple transform selection and transform skip operations for specific inter-prediction techniques.

A refinement encoder selects transform coefficients from error frames to generate scalable video data.

Determines context models for video entropy decoding based on transformation depth, reducing selection complexity and improving encoding accuracy.

Decoding method restricts data dependencies within hardware units, resolving pipeline stalling caused by cross-block tool usage.

A program map table embeds high dynamic range and wide color gamut flags to signal content attributes within transport streams.

Deriving partitioned structures for current video blocks using neighboring reference block divisions reduces data volume while maintaining image quality.

Encoding methods track layer changes in multi-plane images to reuse unchanged computer generated hologram layers, reducing computational load.

A video decoding device manages context data using a buffer and two update memories to handle high-definition streams.

A video dropout detection system identifies activity blocks to locate candidate error regions within compressed digital frames.

Derives enabled coding modes from previously encoded images, reducing unnecessary mode checking and improving compression efficiency.

A weighted sum of adaptive cumulative probability estimates balances fast and slow adaptation speeds.

Merging DST-7 and DCT-8 into a compound orthonormal transform reduces memory costs while maintaining high coding performance for larger block sizes.

Devices signal initial CPB removal delays via SEI messages to reduce latency and prevent buffer underflow at random access points.

Magnitude-based coefficient selection reduces latency and banding artifacts in virtual reality image compression workflows.

A decoder-side intra mode derivation mechanism determines candidate prediction modes from neighboring samples to reconstruct video blocks.

A hybrid encoder parses video signals into segments and encodes them in frame or field modes using a lookahead buffer.

A cross-component in-loop filter modifies pixel values using linear relations between luma and chroma samples.

Encoder filters reconstructed samples to optimize subjective image quality while maintaining coding efficiency.

Deriving intra prediction modes based on target sample location reduces residuals and lowers transmission costs for high-resolution images.

Segmenting HDR content into independent LDR streams and lossless global illumination data stabilizes prediction and eliminates halo artifacts on high gradients.

Conditional flags control subblock-based inter prediction parameters, improving compression efficiency while reducing bitstream complexity.

Concurrent block vector estimation and splitting decisions improve rate-distortion performance while reducing encoder operation complexity.

Asymmetric deblocking filters adapt sample counts to boundary conditions, reducing line buffers and enabling parallel processing.

Inferred illumination compensation flags for sub-block motion prediction to optimize video encoding efficiency.

Encoder partitions depth image data into most significant bit and least significant bit layers for layered compression.

A deblocking filter device adjusts boundary filtering strength based on prediction residuals from joint coding of chroma residual.

Parallel sub picture transcoding divides video frames into partitions for simultaneous encoding across multiple encoders.

A video coding method uses non-causal overlapped block prediction to enhance encoding efficiency.

A quantization scheme calculates step sizes using fixed-point arithmetic to separate luminance and chrominance parameters.

Palette coding syntax signals chroma quantization parameter offsets, reducing transmission costs while maintaining image quality.

Intra-slice parallel encoding splits video data into independent streams for concurrent processing, enabling real-time 4K compression on mobile devices.

Coding selection logic determines optimal modes using complexity metrics to balance resource usage and quality.

Setting matrix elements to zero based on block size reduces the number of inverse transform coefficients, lowering computational complexity in video decoders.

Position-based adaptive weights adjust quantization to resolve quality uniformity issues in pole areas.

Applies affine motion compensated prediction and geometric partitioning to resolve low coding efficiency in video compression.

An estimation unit predicts reception buffer waiting time to set an error correction block length that limits processing delay.

A deblocking filter controller adjusts filtering strength based on weighted coefficients applied to adjacent blocks in video encoding.

Unified transform selection framework identifies identity or discrete cosine transforms for residual coding.

Explicit signaling for rectangular blocks resolves implicit split limitations at frame boundaries, improving encoding efficiency and video quality.

A video decoding apparatus calculates a DC value using reference samples to perform intra prediction on current blocks.

Shifting a horizontal disparity motion vector component creates a DSMV candidate that improves inter-view prediction accuracy and reduces bitstream size.