Extraction of image or video features

Full Title

Arrangements for image or video recognition or understanding > Extraction of image or video features

Classification Context

Section:

PHYSICS

Class:

COMPUTING OR CALCULATING; COUNTING

Subclass:

IMAGE OR VIDEO RECOGNITION OR UNDERSTANDING

Scope Notes

Glossary: BoW bag of words, a model originally developed for natural language processing; when applied to images, it represents an image by a histogram of visual words, each visual word representing a specific part of the feature space. edge edges region in the image, at which the image exhibits a strong luminance gradient. GLCM grey-level co-occurrence matrix HOG histogram of oriented gradients, a feature descriptor described by N Dalal and B Triggs SIFT scale-invariant feature transform, a feature detection algorithm SURF speeded up robust features, a feature descriptor | Application references: Recognition of scene and scene-specific elements Character recognition; Recognising digital ink; Document-oriented image-based pattern recognition Image or video recognition or understanding of human-related, animal-related or biometric patterns in image or video data Recognition of fingerprints or palmprints Recognition of vascular patterns Recognition of human faces, e.g. facial parts, sketches or expressions within images or video data Recognition of eye characteristics within image or video data, e.g. of the iris

Child Classifications

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• G06V 10/42 Global feature extraction by analysis of the whole pattern, e.g. using frequency domain transformations or autocorrelation
• G06V 10/44 Local feature extraction by analysis of parts of the pattern, e.g. by detecting edges, contours, loops, corners, strokes or intersections; Connectivity analysis, e.g. of connected components
• G06V 10/46 Descriptors for shape, contour or point-related descriptors, e.g. scale invariant feature transform [SIFT] or bags of words [BoW]; Salient regional features
• G06V 10/48 by mapping characteristic values of the pattern into a parameter space, e.g. Hough transformation
• G06V 10/5 by performing operations within image blocks; by using histograms, e.g. histogram of oriented gradients [HoG]; by summing image-intensity values; Projection analysis
• G06V 10/52 Scale-space analysis, e.g. wavelet analysis
• G06V 10/54 relating to texture
• G06V 10/56 relating to colour
• G06V 10/58 relating to hyperspectral data
• G06V 10/6 relating to illumination properties, e.g. using a reflectance or lighting model
• G06V 10/62 relating to a temporal dimension, e.g. time-based feature extraction; Pattern tracking