Fast and accurate low bit rate retrieval-by-capture applications

Cao, Y; Ritz, C; Raad, R

Fast and accurate low bit rate retrieval-by-capture applications

Cao, Y

Ritz, C Raad, R

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Publication Type:: Conference Proceeding
Citation:: International Conference on Digital Signal Processing, DSP, 2014, 2014-January pp. 657 - 662
Issue Date:: 2014-01-01

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Field	Value	Language
dc.contributor.author	Cao, Y https://orcid.org/0000-0002-7623-9830	en_US
dc.contributor.author	Ritz, C	en_US
dc.contributor.author	Raad, R	en_US
dc.date.issued	2014-01-01	en_US
dc.identifier.citation	International Conference on Digital Signal Processing, DSP, 2014, 2014-January pp. 657 - 662	en_US
dc.identifier.isbn	9781479946129	en_US
dc.identifier.uri	http://hdl.handle.net/10453/120624
dc.description.abstract	© 2014 IEEE. Retrieval-by-capture applications allow a user to scan a printed picture in a newspaper or magazine with a mobile camera to then automatically trigger the display of predetermined related content. To ensure a high user Quality of Experience (QoE), this paper proposes a fast and accurate low bit rate solution for retrieval-by-capture applications based on extracting Scale Invariant Feature Transform (SIFT) features from images reconstructed from the low spatial frequency components. The system applies a two-dimensional block-based Discrete Cosine Transform (DCT), as typically used in image coders, and only encodes and transmits the resulting DC components. Received images are decoded using these components and SIFT features are derived and then used to find a matching image within a database of candidate images. Results show that the proposed system achieves more than 97% matching accuracy when evaluated for a wide range of typical image distortions including scaling, rotation, additive noise, image blurring and illumination. Transmission data rates are comparable to existing compressed domain image features whilst significantly reducing system latency.	en_US
dc.relation.ispartof	International Conference on Digital Signal Processing, DSP	en_US
dc.relation.isbasedon	10.1109/ICDSP.2014.6900747	en_US
dc.rights	info:eu-repo/semantics/closedAccess
dc.title	Fast and accurate low bit rate retrieval-by-capture applications	en_US
dc.type	Conference Proceeding
utslib.citation.volume	2014-January	en_US
utslib.for	0906 Electrical and Electronic Engineering	en_US
pubs.embargo.period	Not known	en_US
pubs.organisational-group	/University of Technology Sydney
pubs.organisational-group	/University of Technology Sydney/Faculty of Engineering and Information Technology
pubs.organisational-group	/University of Technology Sydney/Faculty of Engineering and Information Technology/School of Electrical and Data Engineering
utslib.copyright.status	closed_access	*
pubs.publication-status	Published	en_US
pubs.volume	2014-January	en_US

Abstract:

© 2014 IEEE. Retrieval-by-capture applications allow a user to scan a printed picture in a newspaper or magazine with a mobile camera to then automatically trigger the display of predetermined related content. To ensure a high user Quality of Experience (QoE), this paper proposes a fast and accurate low bit rate solution for retrieval-by-capture applications based on extracting Scale Invariant Feature Transform (SIFT) features from images reconstructed from the low spatial frequency components. The system applies a two-dimensional block-based Discrete Cosine Transform (DCT), as typically used in image coders, and only encodes and transmits the resulting DC components. Received images are decoded using these components and SIFT features are derived and then used to find a matching image within a database of candidate images. Results show that the proposed system achieves more than 97% matching accuracy when evaluated for a wide range of typical image distortions including scaling, rotation, additive noise, image blurring and illumination. Transmission data rates are comparable to existing compressed domain image features whilst significantly reducing system latency.

Please use this identifier to cite or link to this item:

http://hdl.handle.net/10453/120624