Patent Document ID: 20050286774
Application ID: 10878958
Patent Status: 0

Claim One:
1. A method for detecting usual events in a video, the video including a plurality of items, comprising: extracting a set of features for each item in the video; constructing an affinity matrix for each feature according to the items; aggregating the affinity matrices into an aggregate affinity matrix; decomposing the aggregate affinity matrix into an set of eigenvectors, in a first to last order; reconstructing a plurality of approximate aggregate affinity matrices, wherein a first approximate aggregate affinity matrix is reconstructed from the first eigenvector, and each next approximate aggregate affinity matrix includes one additional one of the eigenvectors in the first to last order, and a last approximate aggregate affinity matrix is reconstructed from all of the eigenvectors; clustering items associated with each approximate aggregate affinity matrix into clusters; evaluating each approximate aggregate affinity matrix to determine a validity score for each approximate aggregate affinity matrix; and selecting the approximate aggregate affinity matrix with a highest validity score as the clustering of the items associated with usual events.