The Journey to Optimizing Billion-scale Image Search (1/2)
Blog post from Zilliz
Yupoo Picture Manager, which manages tens of billions of images for its users, has an urgent need to quickly locate images within its growing gallery. To address this issue, the company developed a search by image service that underwent two evolutions. The first-generation system used Perceptual hash (pHash) algorithm for feature extraction and ElasticSearch for similarity calculation. However, it had limitations in handling images with altered integrity. The second-generation system introduced a new underlying technology to overcome these limitations.
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