Low complexity video encoding for UAV inspection

Jacob Søgaard, Ruo Zhang, Søren Forchhammer, Kabir Hossain

Research output: Chapter in Book/Report/Conference proceedingArticle in proceedingsResearchpeer-review

Abstract

In this work we present several methods for fast integer motion estimation of videos recorded aboard an Unmanned Aerial Vehicle (UAV). Different from related work, the field depth is not considered to be consistent. The novel methods designed for low complexity MV prediction in H.264/AVC and analysis hereof include histogram-based prediction, constant global motion, and modification of the candidate sets in the Enhanced Predictive Zonal Search (EPZS). The results verify the applicability of the methods with a speed-up factor of integer motion estimation up to 2–4. Initial results for UAV infrared (IR) video are also provided.
Original languageEnglish
Title of host publicationProceedings of the 32nd Picture Coding Symposium
Number of pages5
PublisherIEEE
Publication date2016
ISBN (Print)978-1-5090-5966-9
DOIs
Publication statusPublished - 2016
Event32nd Picture Coding Symposium - Hotel Le Meridien, Nuremberg, Germany
Duration: 4 Dec 20167 Dec 2016

Conference

Conference32nd Picture Coding Symposium
LocationHotel Le Meridien
CountryGermany
CityNuremberg
Period04/12/201607/12/2016

Fingerprint Dive into the research topics of 'Low complexity video encoding for UAV inspection'. Together they form a unique fingerprint.

Cite this