Abstract
The Image search by content is an area that is based on a set of low-level features such as histograms, textures, the distribution of colors, shapes an brightness. The structure element is a shortcut of the image may vary depending on the designer of the XML document and which may change according to application needs. The visual appearance of the image is a permanent factor that undergoes no change. Therefore, we present in this paper a new method of search by content based on Harris detector, Haar wavelet and Color histogram for the step of feature extraction to extract a binary signature for all multimedia documents.Finally We estimate the similarities between codes and search relevant images with Hamming distance.
Original language | English |
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Pages (from-to) | 715-723 |
Number of pages | 9 |
Journal | CEUR Workshop Proceedings |
Volume | 1180 |
State | Published - 2014 |
Externally published | Yes |
Event | 2014 Cross Language Evaluation Forum Conference, CLEF 2014 - Sheffield, United Kingdom Duration: 15 Sep 2014 → 18 Sep 2014 |
Keywords
- Future extraction
- Hamming distance
- Plant identification
- Signature extraction