Abstract: This application discloses an image retrieval method and apparatus, a system, a server, and a storage medium. The method includes: obtaining a first hash value of a to-be-retrieved reference image; splitting the first hash value into a preset quantity of first hash value segments, wherein a first hash value segment of the first hash value segments has a unique sequence position corresponding to a position of the first hash value segment in the first hash value; locating a target hash table according to the sequence position of the first hash value segment, wherein the target hash table is used for storing hash value segments that are at the sequence position of the first hash value segment in hash values of images; retrieving, from the hash value segments of the target hash table, a second hash value segment that is the same as the first hash value segment; and retrieving, from candidate images to which the second hash value segment belongs, a target image similar to the reference image.

Abstract: A similar picture identification method is described. According to the method, processing circuitry of a device obtains n first local regions of a first picture, the n first local regions being a first set of regions that is affine invariant, and obtains m second local regions of a second picture, the m second local regions being a second set of regions that is affine invariant. The processing circuitry obtains n first characteristic values respectively corresponding to the n first local regions, and obtains m second characteristic values respectively corresponding to the m second local regions. The processing circuitry further determines, according to a comparison result of the n first characteristic values and the m second characteristic values, whether the first picture is similar to the second picture, where n and m are positive integers.

Abstract: This application discloses an image retrieval method and apparatus, a system, a server, and a storage medium. The method includes: obtaining a first hash value of a to-be-retrieved reference image; splitting the first hash value into a preset quantity of first hash value segments, wherein a first hash value segment of the first hash value segments has a unique sequence position corresponding to a position of the first hash value segment in the first hash value; locating a target hash table according to the sequence position of the first hash value segment, wherein the target hash table is used for storing hash value segments that are at the sequence position of the first hash value segment in hash values of images; retrieving, from the hash value segments of the target hash table, a second hash value segment that is the same as the first hash value segment; and retrieving, from candidate images to which the second hash value segment belongs, a target image similar to the reference image.

Abstract: A similar picture identification method is described. According to the method, processing circuitry of a device obtains n first local regions of a first picture, the n first local regions being a first set of regions that is affine invariant, and obtains m second local regions of a second picture, the m second local regions being a second set of regions that is affine invariant. The processing circuitry obtains n first characteristic values respectively corresponding to the n first local regions, and obtains m second characteristic values respectively corresponding to the m second local regions. The processing circuitry further determines, according to a comparison result of the n first characteristic values and the m second characteristic values, whether the first picture is similar to the second picture, where n and m are positive integers.