Fast Image Retrieval Based Weighted Color AutoCorrelogram and LSH Indexing
Jian Fei Sun, Zhi Yi Qu, Kun Yu Wang · Applied Mechanics and Materials · 2014
With the Rapid Development of Internet, Image Retrieval is more and more Important,For Image Retrieval, it Requires Not only a Real-Time Retrieval Speed but also the Accuracy of the Results.The Method Described in this Article: Firstly,We should Quantify the HSV Color Space of the Image Non-Uniformly,and then Extract the Weighted Color Autocorrelogram ,and Finally Build an Indexing Library Based Locality-Sensitive Hashing.The Method Successfully Solves the Problem of Dimension Disaster.With Different Scales Image Datasets，the Experimental Results Show that the Method can Retrieve Similar Images Quickly with the Suitable Parameters Selected.