Processing image or video features in feature spaces; using data integration or data reduction, e.g. principal component analysis [PCA] or independent component analysis [ICA] or self-organising maps [SOM]; Blind source separation

Full Title

Arrangements for image or video recognition or understanding > using pattern recognition or machine learning > Processing image or video features in feature spaces; using data integration or data reduction, e.g. principal component analysis [PCA] or independent component analysis [ICA] or self-organising maps [SOM]; Blind source separation

Classification Context

Section:

PHYSICS

Class:

COMPUTING OR CALCULATING; COUNTING

Subclass:

IMAGE OR VIDEO RECOGNITION OR UNDERSTANDING

Child Classifications

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• G06V 10/771 Feature selection, e.g. selecting representative features from a multi-dimensional feature space
• G06V 10/772 Determining representative reference patterns, e.g. averaging or distorting patterns; Generating dictionaries
• G06V 10/774 Generating sets of training patterns; Bootstrap methods, e.g. bagging or boosting
• G06V 10/776 Validation; Performance evaluation
• G06V 10/778 Active pattern-learning, e.g. online learning of image or video features
• G06V 10/8 Fusion, i.e. combining data from various sources at the sensor level, preprocessing level, feature extraction level or classification level