Image Coding TRIZ Cases
- Neural Image Compression via Dynamic Learning Rate Scheduling
Dynamic step size scheduling optimizes substitutional end-to-end neural image compression, resolving optimization complexity contradictions.
- Block-wise Neural Network Parameter Updates for Video Compression
Neural network parameters update per image block to optimize rate-distortion performance in video decoding.
- Point Cloud Model Processing Using Equivariant and Invariant Encoders
Dual encoders transform irregular point clouds into regularized matrices, resolving data format contradictions to improve 3D reconstruction accuracy.
- Image Encoding Region Compression for Machine Vision
Adjusts resolution and quantization per region to maintain machine vision detection accuracy while increasing overall data transmission efficiency.
- Topographic Latent Variable Model Encoding Nonlinear Data
Segmented processing stages and local topology organization resolve complexity trade-offs while handling nuisance transformations.
- Tile-Based Cloud Gaming Interpolation
Priority-listed tile rendering with interpolation reduces latency and improves image quality in cloud gaming.
- Viewport Indication in Volumetric Point Cloud Streaming
RTCP feedback messages convey viewport information to transmitting devices, optimizing bandwidth utilization for user-selected regions of interest.
- 3D Scene Decoding with Gradient-Weighted Point Cloud Blending
Gradient-weighted blending of de-projected points reduces ghosting artifacts during viewport rendering from non-central camera orientations.
- Transmission Device Scalable Video Stream Encoding
A transmission device generates transport streams containing basic and high-quality video data with identification information for selective decoding.
- Variable Coefficient Deep Learning for Video Inter Prediction
Variable coefficient deep learning models generate virtual reference frames to improve encoding efficiency while reducing hardware resource consumption.
- Content Adaptive Attention Model for Neural Network Encoders
An attention layer computes adaptive spatial saliency maps, allocating bits to human visual system sensitive regions to improve encoding quality.
- Volumetric Point Cloud Streaming via RTP Multiplexing
A process generates dedicated RTP streams for volumetric video bitstreams to enable real-time delivery.
- Base-Mesh Storage in ISOBMFF for Volumetric Video
Segmenting a V-DMC bitstream into dedicated tracks resolves format compatibility issues while enabling efficient volumetric video distribution.
- 3D Point Cloud Encoding Leaf Node Flag for Data Integrity
A 3D point cloud encoding method sets a leaf node flag to indicate the presence of three-dimensional points in combined data streams.
- Mesh Subdivision for Lossy Encoding Efficiency
A mesh decoding device calculates subdivisions to subdivide a base mesh.
- Haptic Atlas Coding for Volumetric Video Immersion
A haptic atlas coding method projects sensory components onto patch pictures packed in atlas images.
- LiDAR Point Cloud Encoding Using Reflection Model
A reflection model derives coefficients to generate predictive residuals for 3D point cloud data encoding.
- Volumetric Video Texture Timecode Embedding
Embeds timecodes into volumetric video textures to enable selective frame loading and reduce streaming latency.
- Adaptive Quantization for Ultra-Low Latency Video Compression
A codec architecture employs motion-based adaptive quantization to compress image streams with ultra-low latency.
- Sub-bitstream Extraction for Scalable Image Coding
A sub-bitstream extraction method configures target output layers to enable temporal scalability in image coding.
- Point Cloud Data Transmission via Viewport-Adaptive Segmentation
Viewport-adaptive segmentation divides point cloud data into independent spatial regions, reducing encoding complexity while maintaining service quality.
- Grid-Based Patch Generation for Point Cloud Coding
Grouping voxels into cubic grids generates structured patches that reduce patch generation complexity while improving compression efficiency.
- 3D Data Encoding Using Spatial Range Constraints
A three-dimensional data encoding method limits referable neighboring nodes within a specific spatial range to reduce processing overhead.
- Point Cloud Data Transmission Using Segmented Quantization
Segmenting point cloud data into blocks with variable quantization parameters reduces encoding complexity while maintaining service quality.
- Volumetric Video Patch Filtering Metadata Encoding
Encoding auxiliary patch metadata to control selective filtering during volumetric video reconstruction.