Abstract
With the amount of multimedia data,especially image data,increased rapidly,similar image retrieval has become a very important research subject.Features which describe images and feature indexing are important to image retrieval.Vectors of Locally Aggregated Descriptors(VLAD) cannot describe the relationship between local descriptors and clusters.More representative aggregation vector called Soft Assignment-Vectors of Locally Aggregated Descriptors(SA-VLAD) is put forward by using soft-assignment.Soft-assignment is a distributive strategy that the weight assigned to neighboring cells depends on the distance between the local descriptors and the cell centers.Besides,based on Inverted File with Asymmetric Distance Computation(IVFADC),a new indexing scheme named Dispersed Assignment-Inverted File with Asymmetric Distance Computation(DA-IVFADC) is implemented by using dispersed-assignment in indexing stage to resolve the problem of massive distance computation.Experimental results demonstrate that DA-IVFADC and SA-VLAD lessens the query time to a great extent and effectively improves the accuracy rate of results.
Sign-in/Register to access full text options 
Talk to us
Join us for a 30 min session where you can share your feedback and ask us any queries you have
Schedule a callDisclaimer: All third-party content on this website/platform is and will remain the property of their respective owners and is provided on "as is" basis without any warranties, express or implied. Use of third-party content does not indicate any affiliation, sponsorship with or endorsement by them. Any references to third-party content is to identify the corresponding services and shall be considered fair use under The CopyrightLaw.
