INCREMENTAL IMAGE CLUSTERING

摘要

Methods, systems, and computer readable media with executable instructions, and/or logic are provided for incremental image clustering. An example method for incremental image clustering can include identifying, via a computing device, a number of candidate nodes from among evaluated leaf image cluster (LIC) nodes on an image cluster tree (ICT) based on a similarity between a feature of a new image and an average feature of each of the evaluated LIC nodes. The evaluated nodes include at least one node along each path from a root node to either a leaf node or a node having a similarity exceeding a first threshold. A most-similar node can be determined, via the computing device, from among the number of candidate nodes. The new image can be inserted to a node associated with the determined most-similar node, via the computing device.

主权项

1. A method for incremental image clustering, comprising:
identifying, via a computing device, a number of candidate nodes from among evaluated leaf image cluster (LIC) nodes on an image cluster tree (ICT) based on a similarity between a feature of a new image and an average feature of each of the evaluated LIC nodes; determining, via the computing device, a most-similar node from among the number of candidate nodes; and inserting, via the computing device, the new image to a node associated with the determined most-similar node, wherein the evaluated nodes include at least one node along each path from a root node to either a leaf node or a node having a similarity exceeding a first threshold.