Low complexity video encoding for UAV inspection

Jacob Søgaard; Ruo Zhang; Søren Forchhammer; Kabir Hossain

doi:10.1109/PCS.2016.7906331

Low complexity video encoding for UAV inspection

Jacob Søgaard, Ruo Zhang, Søren Forchhammer, Kabir Hossain

Technical University of Denmark

Research output: Chapter in Book/Report/Conference proceeding › Article in proceedings › Research › peer-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 language	English
Title of host publication	Proceedings of the 32nd Picture Coding Symposium
Number of pages	5
Publisher	IEEE
Publication date	2016
ISBN (Print)	978-1-5090-5966-9
DOIs	https://doi.org/10.1109/PCS.2016.7906331
Publication status	Published - 2016
Event	32nd Picture Coding Symposium - Hotel Le Meridien, Nuremberg, Germany Duration: 4 Dec 2016 → 7 Dec 2016

Conference

Conference	32nd Picture Coding Symposium
Location	Hotel Le Meridien
Country/Territory	Germany
City	Nuremberg
Period	04/12/2016 → 07/12/2016

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10.1109/PCS.2016.7906331

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title = "Low complexity video encoding for UAV inspection",

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.",

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language = "English",

isbn = "978-1-5090-5966-9",

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note = "32nd Picture Coding Symposium, PCS 2016 ; Conference date: 04-12-2016 Through 07-12-2016",

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T1 - Low complexity video encoding for UAV inspection

AU - Søgaard, Jacob

AU - Zhang, Ruo

AU - Forchhammer, Søren

AU - Hossain, Kabir

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N2 - 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.

AB - 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.

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DO - 10.1109/PCS.2016.7906331

M3 - Article in proceedings

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BT - Proceedings of the 32nd Picture Coding Symposium

PB - IEEE

T2 - 32nd Picture Coding Symposium

Y2 - 4 December 2016 through 7 December 2016

ER -

Low complexity video encoding for UAV inspection

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