Jewellery item retrieval is regularly used to find what people want on online
marketplaces using a sample query reference image. Considering recent
developments, due to the simultaneous nature of various jewelry items, various
jewelry goods' occlusion in images or visual streams, as well as shape
deformation, content-based jewellery item retrieval (CBJIR) still has
limitations whenever it pertains to visual searching in the actual world. This
article proposed a content-based jewellery item retrieval method using the
local region-based histograms in HSV color space. Using five local regions, our
novel jewellery classification module extracts the specific feature vectors
from the query image. The jewellery classification module is also applied to
the jewellery database to extract feature vectors. Finally, the similarity
score is matched between the database and query features vectors to retrieve
the jewellery items from the database. The proposed method performance is
tested on publicly available jewellery item retrieval datasets, i.e. ringFIR
and Fashion Product Images dataset. The experimental results demonstrate the
dominance of the proposed method over the baseline methods for retrieving
desired jewellery products.

本文提出一种基于内容的珠宝饰品检索方法，采用 HSV 颜色空间中的局部区域直方图。使用五个局部区域，我们的新颖珠宝分类模块从查询图像中提取特定的特征向量，然后将该模块应用于珠宝饰品数据库以提取特征向量。最后，通过匹配数据库和查询特征向量之间的相似度分数，从数据库中提取珠宝饰品。实验结果表明，所提出的方法优于基准方法，可以有效地检索所需的珠宝产品。