Query specific fusion for image retrieval

摘要

Systems and methods for image retrieval include constructing a plurality of graphs including a first graph for candidate images retrieved based upon holistic features of a query image and a second graph for candidate images retrieved based upon local features of the query image, wherein constructing includes weighting connected images based upon a Jaccard similarity coefficient. The plurality of graphs are fused to provide a fused graph. Candidate images of the fused graph are ranked, using a processor, to provide retrieval results of the query image.

主权项

1. A method for image retrieval, comprising:
capturing images from a camera sensor or from a computer generated display memory; constructing a plurality of graphs including a first graph for candidate images retrieved based upon holistic features of a query image and a second graph for candidate images retrieved based upon local features of the query image, wherein constructing includes weighting connected images based upon a Jaccard similarity coefficient determined as:w⁡(q,d)=α⁢Nk⁡(q)⋂Nk⁡(d)Nk⁡(q)⋃Nk⁡(d)where w is weight of an edge for images q and d that are reciprocal neighbors, N represents a neighborhood, and α is a decay coefficient related to number of hops to the query;
fusing the plurality of graphs to provide a fused graph; and ranking, using a processor, candidate images of the fused graph to provide retrieval results of the query image.