Abstract
In this paper, A new algorithm for compressed image retrieval is proposed based on Gaussian Density Feature Vector(GDFV). This algorithm directly extract gaussian density of 8 direction from compressed image data to construct a 2-dimention array (8*4) as an indexing key to retrieve images based on their content features. To test and evaluate the proposed algorithms, we carried out experiments with a database of 1000 images. In comparison with existing representative techniques, the experimental results show the superiority of the proposed method in terms of retrieval precision and processing speed.
Talk to us
Join us for a 30 min session where you can share your feedback and ask us any queries you have
Schedule a callDisclaimer: All third-party content on this website/platform is and will remain the property of their respective owners and is provided on "as is" basis without any warranties, express or implied. Use of third-party content does not indicate any affiliation, sponsorship with or endorsement by them. Any references to third-party content is to identify the corresponding services and shall be considered fair use under The CopyrightLaw.
