Video Region Specification Global Aspects Encoding
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Solution Overview
Problem
Current techniques for specifying aspects of regions of interest (ROIs) in 2D and spherical video content are inefficient, as they often include redundant information by specifying orientation, range, location, and size on a per-sample basis, even when multiple samples share the same characteristics.
Innovation Solution
The proposed solution involves specifying coordinate information for regions, such as 2D, 3D, and 6D coordinates, in a manner that identifies global aspects common across multiple samples, reducing unnecessary data and improving processing efficiency by encoding and decoding video content.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If per-sample specification of orientation, range, location, and size is used, then complete and precise region information is provided, but data redundancy increases and processing efficiency decreases
Solution Approach 1:
The patent merges identical region specification parameters (orientation, range, location, size) across multiple video samples into a single global specification when they are the same. This combining approach eliminates redundant data while preserving complete region information, directly resolving the contradiction between data completeness and data quantity.
Solution Approach 2:
The patent introduces a universal global specification mechanism that can serve multiple samples simultaneously. When region parameters are identical across samples, a single global specification is applied universally to all relevant samples, reducing data redundancy while maintaining precision. This multi-functional approach allows one specification to serve multiple purposes across different samples.
2Measurement precision
If per-sample specification of orientation, range, location, and size is used, then complete region information is provided, but processing time increases
Solution Approach 1:
The patent merges identical region specification parameters across multiple video samples into a single global specification. This reduces the number of processing operations required during video encoding and decoding, as the decoder only needs to apply the global specification once rather than repeatedly processing identical per-sample parameters, thereby reducing processing time while maintaining precision.
Solution Approach 2:
The patent performs preliminary identification of global region specifications during the encoding phase. By detecting and establishing global specifications in advance before video playback or further processing, the system eliminates the need for repeated per-sample processing during decoding, thus reducing processing time without sacrificing region specification precision.
3Quantity of substance
If global aspects are specified for multiple samples, then data redundancy is reduced, but complexity of determining whether to apply global aspects increases
Solution Approach 1:
The patent segments region specifications into two distinct types: global specifications that apply to multiple samples and per-sample specifications that are specific to individual samples. This segmentation is controlled by flags or indicators that specify whether global aspects are present. By dividing the specification system into these two segments, the patent reduces data redundancy while managing complexity through clear structural separation rather than requiring complex determination logic for every parameter.
Data Source
AI summary
The techniques described herein relate to methods, apparatus, and computer readable media configured to encode and/or decode video data. The video data can include a region of interest. The video data can include a region structure associated with the video data that specifies one or more aspects of the region of interest based on a sphere, such as a coordinate aspect, a size aspect, a range aspect, or some combination thereof, the region structure comprising data indicative of whether the region structure comprises data indicative of one or more global aspects of the region of interest that applies to each of a set of samples associated with the region structure. The region of interest in the video data can be determined based on the data indicative of whether the region structure comprises data indicative of the one or more global aspects of the region of interest.