Video Coding Caption Region Detection via Pixel Histogram Analysis
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Solution Overview
Problem
Existing video coding technologies face challenges in accurately detecting caption regions in video frames, leading to false detections and suboptimal coding quality.
Innovation Solution
A method and apparatus for processing video coding that determines whether a target image block belongs to a caption region by analyzing pixel variance and generating a pixel histogram, thereby improving detection accuracy and optimizing coding modes.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If existing video coding technologies are used for caption region detection, then the coding process can be completed, but the detection accuracy is low leading to false detections
Solution Approach 1:
The video frame is divided into multiple image blocks, and each image block is further segmented into domain image blocks for individual analysis. This segmentation allows the system to process and evaluate each region separately using pixel variance and histogram analysis, improving detection accuracy while reducing false positives compared to analyzing the entire frame as a single unit.
Solution Approach 2:
The patent applies a two-stage detection approach where first pixel variance is calculated for domain image blocks to identify potential caption regions, and then a more computationally intensive pixel histogram analysis is performed only on those candidate regions. This partial application of excessive analysis only where needed improves accuracy without overwhelming computational cost.
2Manufacturing precision
If traditional coding modes are applied uniformly to all regions, then the coding process is simple, but the coding quality of caption regions is suboptimal
Solution Approach 1:
The patent determines different coding modes for different image blocks based on their identified region type. Caption regions are assigned specific coding modes optimized for text preservation, while non-caption regions use different coding modes. This local differentiation improves caption region coding quality without requiring complete redesign of the entire coding system.
Solution Approach 2:
The system performs caption region detection and classification before the actual video coding process. By pre-identifying caption regions and determining their region types using pixel variance and histogram analysis, the system can prepare and apply appropriate coding modes in advance, improving caption quality without adding complexity to the core coding operations.
Data Source
AI summary
Provided is a method for processing video coding. The method includes: according to domain image blocks of a target image block in a video frame, determining whether the target image block belongs to a candidate caption region; in response to determining that the target image block belongs to the candidate caption region, generating a pixel histogram of the target image block; according to the pixel histogram of the target image block, determining a region type to which the target image block belongs, where the region type is a caption region or a non-caption region; and according to the region type to which the target image block belongs, determining a target coding mode for the target image block.