Skip to Main Content
ASME Press Select Proceedings

International Conference on Instrumentation, Measurement, Circuits and Systems (ICIMCS 2011)

Chen Ming
Chen Ming
Search for other works by this author on:
No. of Pages:
ASME Press
Publication date:

Detecting near-duplicate(ND) images efficiently and accurately is very important for copyright infringement detection and redundancy removal in retrieval results. In order to solve the low efficiency of existing methods, a near-duplicate image detection method based on Exact Euclidean Locality Sensitive Hashing(E2LSH) is proposed. Firstly, E2LSH is used to filter most of the non-near-duplicate image pairs. Then, a pool of vastly reduced image pairs is further explored with Enhanced Scale-Rotation invariant Pattern Entropy(ESR-PE) to remove the wrong matches, thus near-duplicate image detection is accomplished. Experimental results show that the novel method significantly speed up the detection with competitive performance to the exhaustive detection.

This content is only available via PDF.
Close Modal
This Feature Is Available To Subscribers Only

Sign In or Create an Account

Close Modal
Close Modal