Interior coordination image retrieval with object-detection-based and color features
Ren Togo, Takahiro Ogawa, Miki Haseyama · 2021
This paper presents a new interior coordination image retrieval method using object-detection-based and color features. Interior coordination requires consideration of objects’ positional information and the overall atmosphere of the room simultaneously. However, similar image retrieval methods considering the coordination characteristics have not been proposed. In the proposed method, we extract different types of features from interior coordination images and realize the similar interior coordination image retrieval based on our newly derived features.