Image Delivery Optimization

Image Delivery Optimization is a methodological framework within the field of web imaging that systematically enhances the efficiency, quality, and adaptability of image delivery across heterogeneous devices and network conditions by dynamically selecting, resizing, compressing, and serving image resources based on contextual client constraints and priorities.

Publications

Citations

Authors

Institutions

Publications per year

2017–2026

Parents

Responsive Images

Publications

Content-based transcoding of images in the Internet

J. R. Smith, Rakesh Mohan, Chung‐Sheng Li · 2002 · 89 citations

Computing, Computer Science, Information Technology +14

A cross layer resource allocation scheme for secure image delivery in wireless sensor networks

Wei Wang, Dongming Peng, Honggang Wang et al. · 2007 · 10 citations

Computing, Computer Engineering, Computer Science +16

An Efficient Safety Confirmation Method Using Image Database in Multiple-MDRU-Based Disaster Recovery Network

Thuan Ngo, Hiroki Nishiyama, Nei Kato et al. · IEEE Systems Journal · 2015 · 10 citations

Computing, Computer Systems, Information Technology +11

1–3 of 2

Authors

RM
Rakesh Mohan
IBM Research - Thomas J. Watson Research Center, United States
1 publications · 89 citations
1
h-index
CL
Chung‐Sheng Li
IBM Research - Thomas J. Watson Research Center, United States
1 publications · 89 citations
1
h-index
HS
Hamid Sharif
University of Nebraska–Lincoln, United States
1 publications · 10 citations
1
h-index
WW
Wei Wang
Sichuan University, China
1 publications · 10 citations
1
h-index
DP
Dongming Peng
University of Nebraska–Lincoln, United States
1 publications · 10 citations
1
h-index

1–5 of 7

Institutions

1–4 of 1

Venues

IEEE Systems Journal
ISJ · 1 publications · 10 citations

1–1