18237995. FEATURE EXTRACTION METHOD AND APPARATUS simplified abstract (Huawei Technologies Co., Ltd.)
Contents
FEATURE EXTRACTION METHOD AND APPARATUS
Organization Name
Inventor(s)
FEATURE EXTRACTION METHOD AND APPARATUS - A simplified explanation of the abstract
This abstract first appeared for US patent application 18237995 titled 'FEATURE EXTRACTION METHOD AND APPARATUS
Simplified Explanation
The patent application relates to artificial intelligence and presents a method and apparatus for feature extraction. Here are the key points:
- The method involves obtaining an object to be processed and segmenting it to identify specific elements within it.
- Two vectors are generated: one representing the segmented object and another representing some elements within the segmented object.
- Feature extraction is performed on both vectors separately to obtain distinct features.
- The second features are fused together using a target weight to create a fused feature.
- The first feature and the fused feature are then combined through fusion processing to generate a second fused feature.
- The second fused feature represents a feature of the original object and can be used for further analysis or processing.
Potential applications of this technology:
- Object recognition and classification in computer vision systems.
- Natural language processing for extracting features from text or speech data.
- Anomaly detection in various domains, such as cybersecurity or industrial monitoring.
Problems solved by this technology:
- Efficiently extracting relevant features from complex objects or datasets.
- Improving accuracy and performance in AI systems by combining multiple feature extraction techniques.
- Enabling more advanced analysis and decision-making based on extracted features.
Benefits of this technology:
- Enhanced accuracy and efficiency in AI applications by leveraging both segmented and specific element features.
- Flexibility to adapt the feature extraction process to different types of objects or datasets.
- Improved performance in tasks like object recognition, anomaly detection, and data analysis.
Original Abstract Submitted
Embodiments of this disclosure relate to the field of artificial intelligence, and disclose a feature extraction method and apparatus. The method includes: obtaining a to-be-processed object, and obtaining a segmented object based on the to-be-processed object, where the segmented object includes some elements in the to-be-processed object, a first vector indicates the segmented object, and a second vector indicates some elements in the segmented object; performing feature extraction on the first vector to obtain a first feature, and performing feature extraction on the second vector to obtain a second feature; fusing at least two second features based on a first target weight, to obtain a first fused feature; and performing fusion processing on the first feature and the first fused feature to obtain a second fused feature, where the second fused feature is used to obtain a feature of the to-be-processed object.
