IEEE Trans. Consumer Electron.

2005

DOI: 10.1109/tce.2005.1561849

|View full text |Cite

|

Sign up to set email alerts

|

MPEG-4 compatible stereoscopic sequence codec for stereo broadcasting

Changseob Park³

et al.

Help me understand this report

Search citation statements

Order By: Relevance

Paper Sections

Select...

Citation Types

Supporting

0

Mentioning

0

Contrasting

0

Year Published

2006

2006

2012

2012

Publication Types

Select...

Article3

Book1

Other1

Relationship

Self Cite0

Independent5

Authors

Journals

Cited by 11 publications

References 20 publications

Supporting

0

Mentioning

0

Contrasting

0

Order By: Relevance

Fast Dense Stereo Matching Using Adaptive Window in Hierarchical Framework

¹

,

²

,

³

2006

Advances in Visual Computing

View full text Add to dashboard Cite

No abstract

Fast Dense Stereo Matching Using Adaptive Window in Hierarchical Framework

¹

,

²

,

³

2006

Advances in Visual Computing

View full text Add to dashboard Cite

No abstract

A fast stereoscopic video coding algorithm based on JMVM

¹

,

²

,

³

et al. 2011

Sci. China Inf. Sci.

View full text Add to dashboard Cite

In order to exploit the intra-view and inter-view dependencies in stereo video coding, a fast joint motion and disparity estimation algorithm is proposed in this paper. An efficient search strategy based on the motion-disparity constraint is developed, in which both the motion and disparity vectors can be obtained simultaneously with low complexity. Moreover, a credible initial predictive vector set is designed with the aid of the temporal and spatial neighboring blocks so that the coding efficiency can be further enhanced. The experimental results demonstrate that the proposed algorithm can reduce more than 96% coding time compared with the JMVM full search with a negligible quality drop.

A new fast motion estimation algorithm based on the loop–epipolar constraint for multiview video coding

¹

,

²

,

³

et al. 2012

Signal Processing: Image Communication

View full text Add to dashboard Cite

No abstract

scite is a Brooklyn-based organization that helps researchers better discover and understand research articles through Smart Citations–citations that display the context of the citation and describe whether the article provides supporting or contrasting evidence. scite is used by students and researchers from around the world and is funded in part by the National Science Foundation and the National Institute on Drug Abuse of the National Institutes of Health.

Contact Info

hi@scite.ai

10624 S. Eastern Ave., Ste. A-614

Henderson, NV 89052, USA

Product

Browser Extension Assistant by scite Citation Statement Search Reference Check Visualizations Dashboards Explore Journals Explore Organizations Explore Funders Embedding Badge Embedding Citation Search Pricing

Resources

Blog Help & FAQ Accessibility Statement API Terms For Universities & Governments For Researchers For Publishers For Corporate, Pharma & Enterprise Author Marketing Become an Affiliate Get an organization trial or quote scite Data & Services

About

News & Press Careers Read our Paper Coverage

Blog Terms and Conditions API Terms Privacy Policy Contact Cookie Preferences Do Not Sell or Share My Personal Information

Copyright © 2024 scite LLC. All rights reserved.

Made with 💙 for researchers

Part of the Research Solutions Family.