Title
Incremental Hashing With Sample Selection Using Dominant Sets
Abstract
In the world of big data, large amounts of images are available in social media, corporate and even personal collections. A collection may grow quickly as new images are generated at high rates. The new images may cause changes in the distribution of existing classes or the emergence of new classes, resulting in the collection being dynamic and having concept drift. For efficient image retrieval from an image collection using a query, a hash table consisting of a set of hash functions is needed to transform images into binaryhash codeswhich are used as the basis to find similar images to the query. If the image collection is dynamic, the hash table built at one time step may not work well at the next due to changes in the collection as a result of new images being added. Therefore, the hash table needs to be rebuilt or updated at successive time steps. Incremental hashing (ICH) is the first effective method to deal with the concept drift problem in image retrieval from dynamic collections. In ICH, a new hash table is learned based on newly emerging images only which represent data distribution of the current data environment. The new hash table is used to generate hash codes for all images including old and new ones. Due to the dynamic nature, new images of one class may not be similar to old images of the same class. In order to learn new hash table that preserves within-class similarity in both old and new images,incremental hashing with sample selection using dominant sets(ICHDS) is proposed in this paper, which selects representative samples from each class for training the new hash table. Experimental results show that ICHDS yields better retrieval performance than existing dynamic and static hashing methods.
Year
DOI
Venue
2020
10.1007/s13042-020-01145-z
INTERNATIONAL JOURNAL OF MACHINE LEARNING AND CYBERNETICS
Keywords
DocType
Volume
Image retrieval, Incremental hashing, Semi-supervised hashing, Concept drift, Dominant sets
Journal
11
Issue
ISSN
Citations 
12
1868-8071
0
PageRank 
References 
Authors
0.34
0
6
Name
Order
Citations
PageRank
Wing W. Y. Ng152856.12
Xiaoxia Jiang200.34
Xing Tian3163.27
Marcello Pelillo400.34
hui wang57617.01
Sam Kwong64590315.78