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IMPROVED SEAM CARVING FOR IMAGE RETARGETING WITH SIFT FEATURE PRESERVATION

Published

Author(s)

Hamid Gharavi

Abstract

This paper presents an effective and simple image resizing method. Our method is an improved version of seam carving that changes the backtracking basis of seam carving. We use a Scale Invariant Feature Transform (SIFT) feature in our method. SIFT key points are mainly located on high-contrast regions of an image. By using saliency considering SIFT as our backtracking basis, a resized image can preserve the SIFT features of the original image. Therefore, the resized image can be more visually acceptable than the image resized by traditional seam carving.
Proceedings Title
The Third IEEE China Summit and International Conference on Signal and Information Processing (ChinaSIP 2015)
Conference Dates
July 12-15, 2015
Conference Location
Chengdu

Keywords

Image resizing, seam carving, SIFT.

Citation

Gharavi, H. (2015), IMPROVED SEAM CARVING FOR IMAGE RETARGETING WITH SIFT FEATURE PRESERVATION, The Third IEEE China Summit and International Conference on Signal and Information Processing (ChinaSIP 2015), Chengdu, -1, [online], https://tsapps.nist.gov/publication/get_pdf.cfm?pub_id=918606 (Accessed April 17, 2024)
Created July 14, 2015, Updated January 27, 2020