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Irving Barron

dblp:280/7699 · also Irving R. Barron, Irving Ricardo Barron · DBLP profile ↗
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2ranked-venue papers
2as first author
2since 2021 · last 2023
0000-0001-6477-7706ORCID · corroborated

Domains — the database's venue-derived domains; a paper can count in several

Graphics, computer vision, multimedia, augmented reality and games · 2 · 2 first-author · 2 since 2021

Expertise — from the expertise taxonomy: the topics of the expert's papers under the CCF categories. A weight counts papers with recency: 1 for a paper about the topic, 0.3 when the topic is its context, halved every five years.

Computer networks
1 paper
Physical-layer communications · 88% Cellular and mobile networks · 12%
Computer graphics and multimedia
2 papers
Image and video coding · 100%
Network and information security
1 paper
Privacy and data protection · 100%

Topics — the 5 heaviest of 8, each with the papers that count most for it

TopicWeightPapersLastEvidence papers
Physical-layer communications
channel coding
0.712023
Optimized Modulation and Coding for Dual Modulated QR Codes · IEEE Trans. Image Process. 2023
Physical-layer communications › channel coding › error control coding › decoding
soft-decision decoding
0.712023
Optimized Modulation and Coding for Dual Modulated QR Codes · IEEE Trans. Image Process. 2023
Cellular and mobile networks
5G NR
0.212023
Optimized Modulation and Coding for Dual Modulated QR Codes · IEEE Trans. Image Process. 2023
Physical-layer communications › modulation
coded modulation
0.212023
Optimized Modulation and Coding for Dual Modulated QR Codes · IEEE Trans. Image Process. 2023
Privacy and data protection
privacy-preserving data sharing
0.112021
Dual Modulated QR Codes for Proximal Privacy and Security · IEEE Trans. Image Process. 2021

Methods — techniques the papers use, named apart from their topics

orientation modulation · 2.3intensity modulation · 2.3coding channel modeling · 1.3
YearPublicationVenuePosition
2023 Optimized Modulation and Coding for Dual Modulated QR Codes
abstract
We present optimized modulation and coding for the recently introduced dual modulated QR (DMQR) codes that extend traditional QR codes to carry additional secondary data in the orientation of elliptical dots that replace black modules in the barcode images. By dynamically adjusting the dot size, we realize gains in embedding strength for both the intensity modulation and the orientation modulation that carry the primary and secondary data, respectively. Furthermore, we develop a model for the coding channel for the secondary data that enables soft-decoding via 5G NR (new radio) codes already supported by mobile devices. The performance gains for the proposed optimized designs are characterized via theoretical analysis, simulations, and actual experiments using smartphone devices. The theoretical analysis and simulations inform our design choices for the modulation and coding, and the experiments characterize the overall improvement in performance for the optimized design over the prior unoptimized designs. Importantly, the optimized designs significantly increase usability of DMQR codes with commonly used QR code beautification that cannibalizes a portion of the barcode image area for the insertion of a logo or image. In experiments with a capture distance of 15 inches, the optimized designs increase the decoding success rates between 10% and 32% for the secondary data while also providing gains for primary data decoding at larger capture distances. When used with beautification in typical settings, the secondary message is decoded with a high success rate for the proposed optimized designs, whereas it invariably fails for the prior unoptimized designs.
Irving Barron, Gaurav Sharma 0001
IEEE Trans. Image Process.1
2021 Dual Modulated QR Codes for Proximal Privacy and Security
abstract
The ubiquitous presence of surveillance cameras severely compromises the security of private information (e.g. passwords) entered via a conventional keyboard interface in public places. We address this problem by proposing dual modulated QR (DMQR) codes, a novel QR code extension via which users can securely communicate private information in public places using their smartphones and a camera interface. Dual modulated QR codes use the same synchronization patterns and module geometry as conventional monochrome QR codes. Within each module, primary data is embedded using intensity modulation compatible with conventional QR code decoding. Specifically, depending on the bit to be embedded, a module is either left white or an elliptical black dot is placed within it. Additionally, for each module containing an elliptical dot, secondary data is embedded by orientation modulation; that is, by using different orientations for the elliptical dots. Because the orientation of the elliptical dots can only be reliably assessed when the barcodes are captured from a close distance, the secondary data provides "proximal privacy" and can be effectively used to communicate private information securely in public settings. Tests conducted using several alternative parameter settings demonstrate that the proposed DMQR codes are effective in meeting their objective- the secondary data can be accurately decoded for short capture distances (6 in.) but cannot be recovered from images captured over long distances (>12 in.). Furthermore, the proximal privacy can be adapted to application needs by varying the eccentricity of the elliptical dots used.
Irving Barron, Hsin Jui Yeh, Karthik Dinesh, Gaurav Sharma 0001
IEEE Trans. Image Process.1