Review on Content Based Duplicate Image Detection
International Journal of Science and Research (IJSR)

International Journal of Science and Research (IJSR)
www.ijsr.net | Open Access | Fully Refereed | Peer Reviewed International Journal

ISSN: 2319-7064

Views: 140 , Downloads: 119 | CTR: 85 % | Weekly Popularity: ⮙1

Survey Paper | Computer Science & Engineering | India | Volume 4 Issue 6, June 2015

Review on Content Based Duplicate Image Detection

Jagtap Ankita K., Tidke B. A

Content Based image retrieval uses visual contents to search images from large scale database according to user-s requirement. This paper provides a review on features used in content based image retrieval and various methods used to reduce semantic gap. It also introduced new system for retrieval of relevant images with duplicate detection framework. The proposed method uses a visual vocabulary of vector quantized local feature descriptors to find similarity measures to evaluate near duplicate image detection. Using this duplicate image detection technique with existing Intent search system improves precision of top ranked images.

Keywords: Content- Based image retrieval, visual, semantic gap, duplicate image detection

Edition: Volume 4 Issue 6, June 2015

Pages: 568 - 571

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How to Cite this Article?

Jagtap Ankita K., Tidke B. A, "Review on Content Based Duplicate Image Detection", International Journal of Science and Research (IJSR), https://www.ijsr.net/search_index_results_paperid.php?id=SUB155229, Volume 4 Issue 6, June 2015, 568 - 571

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Survey Paper, Computer Science & Engineering, India, Volume 4 Issue 6, June 2015

Pages: 568 - 571

Review on Content Based Duplicate Image Detection

Jagtap Ankita K., Tidke B. A

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