Abstract :
This work presents an intelligent clothes search system based on domain knowledge, targeted at creating a virtual assistant to search clothes matched to fashion and userpsila expectation using all what have already been in real closet. All what garment essentials and fashion knowledge are from visual images. Users can simply submit the desired image keywords, such as elegant, sporty, casual, and so on, and occasion type, such as formal meeting, outdoor dating, and so on, to the system. And then the fashion style recognition module is activated to search the desired clothes within the personal garment database. Category learning with supervised neural networking is applied to cluster garments into different impression groups. The input stimuli of the neural network are three sensations, warmness, loudness, and softness, which are transformed from the physical garment essentials like major color tone, print type, and fabric material. The system aims to provide such an intelligent user-centric services system functions as a personal fashion advisor.
Keywords :
clothing; humanities; image recognition; neural nets; category learning; domain knowledge; fashion style recognition module; garment essentials; intelligent clothes search system; intelligent user-centric services system; personal fashion advisor; personal garment database; supervised neural networking; virtual assistant; visual images; Artificial intelligence; Clothing; Cybernetics; Fabrics; Humans; Intelligent systems; Machine learning; Neural networks; Psychology; Shape; Category learning; Cognition; Intelligent system; Knowledge acquisition; Neural network;
