Розробка системи інтелектуального групування фотографій на основі методів computer vision

Abstract

The report describes the design and development of an intelligent system for automatic organization of photographic collections using computer vision technologies. The system analyzes images to extract visual and technical features. Based on these characteristics, feature vectors are formed to represent each photograph numerically. The obtained vectors are used to cluster images according to their content similarity. In addition, the system identifies low-quality images using objective visual metrics. Such functionality assists photographers in faster review and selection of valuable photos.