Cartesian resizing of image and video for data compression

Tao Wang, Kiichi Urahama

Research output: Chapter in Book/Report/Conference proceedingConference contribution

3 Citations (Scopus)

Abstract

We present a method for resizing images and videos by deleting or inserting less important rows or columns in images and frames in videos. Their deletion leads to down-sizing of images and shortening of videos while the insertion yields image up-sizing and video elongation. This method is inexpensive than the seam carving with comparably low distortion of objects in images or videos. We use the down-sizing technique in this method for compressing the file size of images and videos with low distortion of important objects in them.

Original languageEnglish
Title of host publicationTENCON 2010 - 2010 IEEE Region 10 Conference
Pages1651-1656
Number of pages6
DOIs
Publication statusPublished - Dec 1 2010
Event2010 IEEE Region 10 Conference, TENCON 2010 - Fukuoka, Japan
Duration: Nov 21 2010Nov 24 2010

Other

Other2010 IEEE Region 10 Conference, TENCON 2010
CountryJapan
CityFukuoka
Period11/21/1011/24/10

All Science Journal Classification (ASJC) codes

  • Computer Science Applications
  • Electrical and Electronic Engineering

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    Wang, T., & Urahama, K. (2010). Cartesian resizing of image and video for data compression. In TENCON 2010 - 2010 IEEE Region 10 Conference (pp. 1651-1656). [5686771] https://doi.org/10.1109/TENCON.2010.5686771