Video Key Identifier Recognition via Frame Difference Masking
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Solution Overview
Problem
Current image recognition methods for video identifiers are weak in fault tolerance and perform poorly in scenarios with low resolution and definition, failing to accurately recognize key identifiers.
Innovation Solution
A method and apparatus for recognizing key identifiers in videos by extracting key frames, generating masks using frame differences, and determining key identifier area images to improve recognition accuracy and fault tolerance, involving modules for extraction, generation, and recognition using deep learning algorithms.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If traditional image recognition methods are used for video identifiers, then the recognition process is simple, but the recognition accuracy is low and fault tolerance is weak
Solution Approach 1:
The patent segments the video processing into distinct stages: key frame extraction, mask generation through frame differencing, candidate region identification, and final recognition. This segmentation allows each module to be optimized independently, improving overall recognition accuracy while maintaining manageable system complexity
Solution Approach 2:
The patent performs preliminary actions by extracting key frames and generating masks before the actual recognition process. These preprocessing steps eliminate redundant information and highlight potential identifier locations, thereby improving recognition accuracy while reducing the complexity of the subsequent recognition task
2Measurement precision
If full video frames are processed for identifier recognition, then comprehensive analysis is achieved, but data processing requirements and time consumption increase
Solution Approach 1:
The patent extracts only the essential components needed for identifier recognition: key frames containing potential identifiers and masks highlighting difference regions. By extracting and processing only these critical elements rather than entire video frames, the system achieves accurate identifier recognition while significantly reducing data processing requirements and improving recognition speed
Solution Approach 2:
The patent applies partial action by processing only key frames and their difference masks rather than all video frames. This selective processing approach provides sufficient information for accurate identifier recognition while minimizing computational overhead, thereby improving recognition speed without sacrificing accuracy
3Reliability
If traditional recognition methods are used, then processing is faster, but fault tolerance and performance in low-resolution scenarios are poor
Solution Approach 1:
The patent prepares masks through frame differencing before the recognition process, which cushions against variations in video quality, resolution, and formatting. This preliminary preparation creates a standardized input format that improves fault tolerance and reliability across different video scenarios, including low-resolution cases, while keeping the added complexity manageable
Data Source
AI summary
A method and an apparatus for recognizing a key identifier in a video, a device and a storage medium are disclosed. The method includes: extracting a plurality of key frames from the video; generating a mask of the key identifier by using a difference between the plurality of key frames; determining, in video frames of the video, a key identifier area image by using the mask; and recognizing the key identifier area image to obtain a key identifier category included in the video.