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Robustness and Discrimination Oriented Hashing Combining Texture and Invariant Vector Distance
- Source :
- ACM Multimedia
- Publication Year :
- 2018
- Publisher :
- ACM, 2018.
-
Abstract
- Image hashing is a novel technology of multimedia processing with wide applications. Robustness and discrimination are two of the most important objectives of image hashing. Different from existing hashing methods without a good balance with respect to robustness and discrimination, which largely restrict the application in image retrieval and copy detection, i.e., seriously reducing the retrieval accuracy of similar images, we propose a new hashing method which can preserve two kinds of complementary features (global feature via texture and local feature via DCT coefficients) to achieve a good balance between robustness and discrimination. Specifically, the statistical characteristics in gray-level co-occurrence matrix (GLCM) are extracted to well reveal the texture changes of an image, which is of great benefit to improve the perceptual robustness. Then, the normalized image is divided into image blocks, and the dominant DCT coefficients in the first row/column are selected to form a feature matrix. The Euclidean distance between vectors of the feature matrix is invariant to commonly-used digital operations, which helps make hash more compact. Various experiments show that our approach achieves a better balance between robustness and discrimination than the state-of-the-art algorithms.
- Subjects :
- 021110 strategic, defence & security studies
business.industry
Computer science
Hash function
ComputingMethodologies_IMAGEPROCESSINGANDCOMPUTERVISION
0211 other engineering and technologies
Pattern recognition
02 engineering and technology
Euclidean distance
Robustness (computer science)
0202 electrical engineering, electronic engineering, information engineering
Discrete cosine transform
020201 artificial intelligence & image processing
Artificial intelligence
Invariant (mathematics)
business
Image retrieval
Subjects
Details
- Database :
- OpenAIRE
- Journal :
- Proceedings of the 26th ACM international conference on Multimedia
- Accession number :
- edsair.doi...........1c43d74cff227f9a55cf7a0bc6c219e0