Low-bitrate benefits of JPEG compression on sift recognition

Mohamed Elhoseiny; Bing Song; Jeremi Sudol; David McKinnon

doi:10.1109/ICIP.2013.6738754

Low-bitrate benefits of JPEG compression on sift recognition

Mohamed Elhoseiny, Bing Song, Jeremi Sudol, David McKinnon

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

1 Scopus citations

Abstract

Feature detection and image matching are two important tasks in photogrammetry. Their application continues to grow in a various fields, from simple photogrammetry tasks such as feature recognition, to the development of sophisticated models to deal with bandwidth problems in mobile devices. Due to low bit-rate requirement of the current mobile communication, Mobile Visual Search became a very challenging problem. In this direction, this paper presents important conclusions based on a comprehensive evaluation of SIFT matching performance against various parameters (e.g. JPEG quality/compression in model and test images, image resolution, etc). The main conclusion of the performed experiments is that reducing jpeg quality from 100% to 30% slightly impart the matching performance, while it significantly reduces the communication bandwidth requirement by ≈ 70%. © 2013 IEEE.

Original language	English (US)
Title of host publication	2013 IEEE International Conference on Image Processing, ICIP 2013 - Proceedings
DOIs	https://doi.org/10.1109/ICIP.2013.6738754
State	Published - Dec 1 2013
Externally published	Yes

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title = "Low-bitrate benefits of JPEG compression on sift recognition",

abstract = "Feature detection and image matching are two important tasks in photogrammetry. Their application continues to grow in a various fields, from simple photogrammetry tasks such as feature recognition, to the development of sophisticated models to deal with bandwidth problems in mobile devices. Due to low bit-rate requirement of the current mobile communication, Mobile Visual Search became a very challenging problem. In this direction, this paper presents important conclusions based on a comprehensive evaluation of SIFT matching performance against various parameters (e.g. JPEG quality/compression in model and test images, image resolution, etc). The main conclusion of the performed experiments is that reducing jpeg quality from 100% to 30% slightly impart the matching performance, while it significantly reduces the communication bandwidth requirement by ≈ 70%. {\textcopyright} 2013 IEEE.",

author = "Mohamed Elhoseiny and Bing Song and Jeremi Sudol and David McKinnon",

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year = "2013",

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doi = "10.1109/ICIP.2013.6738754",

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AU - Song, Bing

AU - Sudol, Jeremi

AU - McKinnon, David

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PY - 2013/12/1

Y1 - 2013/12/1

N2 - Feature detection and image matching are two important tasks in photogrammetry. Their application continues to grow in a various fields, from simple photogrammetry tasks such as feature recognition, to the development of sophisticated models to deal with bandwidth problems in mobile devices. Due to low bit-rate requirement of the current mobile communication, Mobile Visual Search became a very challenging problem. In this direction, this paper presents important conclusions based on a comprehensive evaluation of SIFT matching performance against various parameters (e.g. JPEG quality/compression in model and test images, image resolution, etc). The main conclusion of the performed experiments is that reducing jpeg quality from 100% to 30% slightly impart the matching performance, while it significantly reduces the communication bandwidth requirement by ≈ 70%. © 2013 IEEE.

AB - Feature detection and image matching are two important tasks in photogrammetry. Their application continues to grow in a various fields, from simple photogrammetry tasks such as feature recognition, to the development of sophisticated models to deal with bandwidth problems in mobile devices. Due to low bit-rate requirement of the current mobile communication, Mobile Visual Search became a very challenging problem. In this direction, this paper presents important conclusions based on a comprehensive evaluation of SIFT matching performance against various parameters (e.g. JPEG quality/compression in model and test images, image resolution, etc). The main conclusion of the performed experiments is that reducing jpeg quality from 100% to 30% slightly impart the matching performance, while it significantly reduces the communication bandwidth requirement by ≈ 70%. © 2013 IEEE.

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M3 - Conference contribution

SN - 9781479923410

BT - 2013 IEEE International Conference on Image Processing, ICIP 2013 - Proceedings

ER -

Low-bitrate benefits of JPEG compression on sift recognition

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