Stereo Mosaicking and 3D-Video for Singleview HDTV Aerial Sequences using a Low Bit Rate ROI Coding Framework

Publikation: Beitrag in Buch/Bericht/Sammelwerk/KonferenzbandAufsatz in KonferenzbandForschungPeer-Review

Autoren

Forschungs-netzwerk anzeigen

Details

OriginalspracheEnglisch
Titel des SammelwerksAVSS 2015
Untertitel12th IEEE International Conference on Advanced Video and Signal Based Surveillance
Herausgeber (Verlag)Institute of Electrical and Electronics Engineers Inc.
ISBN (elektronisch)9781467376327
PublikationsstatusVeröffentlicht - 19 Okt. 2015
Veranstaltung12th IEEE International Conference on Advanced Video and Signal Based Surveillance, AVSS 2015 - Karlsruhe, Deutschland
Dauer: 25 Aug. 201528 Aug. 2015

Abstract

Low bit rate coding systems for the transmission of high quality aerial surveillance videos captured from UAVs are of high interest. One way to achieve high quality low bit rate video is to assume a planar surface of the earth, which is valid for sequences captured at high flight altitudes. Those systems only transmit the area of the current frame not contained in the previous frames (New Area) and reconstruct the already known areas by means of Global Motion Compensation (GMC) at decoder side. Although the bit rate can be reduced significantly compared to standardized video coders, no reconstruction of stereo video is possible at the decoder since each image pixel is transmitted only once and thus no motion parallax of objects can be observed in the reconstructed video. In this paper we present a coding system for stereo video reconstruction at very low bit rates. On-board the UAV we employ the camera path estimated from the image data to create a second view of a virtual camera. We derive convenient baseline distances and demonstrate the resulting perceptively good stereo impression for different test sequences. Similar to the coding concept introduced above we transmit a second New Area 2 in addition to the New Area already introduced. By doubling the bit rate to about 2 Mbit/s for a reasonable video quality of more than 38 dB, still saving more than 85% BD-rate compared to common HEVC coding, we are able to reconstruct a full HDTV (30 fps) stereo video at the decoder.

ASJC Scopus Sachgebiete

Zitieren

Stereo Mosaicking and 3D-Video for Singleview HDTV Aerial Sequences using a Low Bit Rate ROI Coding Framework. / Meuel, Holger; Munderloh, Marco; Ostermann, Jörn.
AVSS 2015 : 12th IEEE International Conference on Advanced Video and Signal Based Surveillance. Institute of Electrical and Electronics Engineers Inc., 2015. 7301789.

Publikation: Beitrag in Buch/Bericht/Sammelwerk/KonferenzbandAufsatz in KonferenzbandForschungPeer-Review

Meuel, H, Munderloh, M & Ostermann, J 2015, Stereo Mosaicking and 3D-Video for Singleview HDTV Aerial Sequences using a Low Bit Rate ROI Coding Framework. in AVSS 2015 : 12th IEEE International Conference on Advanced Video and Signal Based Surveillance., 7301789, Institute of Electrical and Electronics Engineers Inc., 12th IEEE International Conference on Advanced Video and Signal Based Surveillance, AVSS 2015, Karlsruhe, Deutschland, 25 Aug. 2015. https://doi.org/10.1109/avss.2015.7301789
Meuel, H., Munderloh, M., & Ostermann, J. (2015). Stereo Mosaicking and 3D-Video for Singleview HDTV Aerial Sequences using a Low Bit Rate ROI Coding Framework. In AVSS 2015 : 12th IEEE International Conference on Advanced Video and Signal Based Surveillance Artikel 7301789 Institute of Electrical and Electronics Engineers Inc.. https://doi.org/10.1109/avss.2015.7301789
Meuel H, Munderloh M, Ostermann J. Stereo Mosaicking and 3D-Video for Singleview HDTV Aerial Sequences using a Low Bit Rate ROI Coding Framework. in AVSS 2015 : 12th IEEE International Conference on Advanced Video and Signal Based Surveillance. Institute of Electrical and Electronics Engineers Inc. 2015. 7301789 doi: 10.1109/avss.2015.7301789
Meuel, Holger ; Munderloh, Marco ; Ostermann, Jörn. / Stereo Mosaicking and 3D-Video for Singleview HDTV Aerial Sequences using a Low Bit Rate ROI Coding Framework. AVSS 2015 : 12th IEEE International Conference on Advanced Video and Signal Based Surveillance. Institute of Electrical and Electronics Engineers Inc., 2015.
Download
@inproceedings{5e13b4ecdb634961980ff076e97d4c07,
title = "Stereo Mosaicking and 3D-Video for Singleview HDTV Aerial Sequences using a Low Bit Rate ROI Coding Framework",
abstract = "Low bit rate coding systems for the transmission of high quality aerial surveillance videos captured from UAVs are of high interest. One way to achieve high quality low bit rate video is to assume a planar surface of the earth, which is valid for sequences captured at high flight altitudes. Those systems only transmit the area of the current frame not contained in the previous frames (New Area) and reconstruct the already known areas by means of Global Motion Compensation (GMC) at decoder side. Although the bit rate can be reduced significantly compared to standardized video coders, no reconstruction of stereo video is possible at the decoder since each image pixel is transmitted only once and thus no motion parallax of objects can be observed in the reconstructed video. In this paper we present a coding system for stereo video reconstruction at very low bit rates. On-board the UAV we employ the camera path estimated from the image data to create a second view of a virtual camera. We derive convenient baseline distances and demonstrate the resulting perceptively good stereo impression for different test sequences. Similar to the coding concept introduced above we transmit a second New Area 2 in addition to the New Area already introduced. By doubling the bit rate to about 2 Mbit/s for a reasonable video quality of more than 38 dB, still saving more than 85% BD-rate compared to common HEVC coding, we are able to reconstruct a full HDTV (30 fps) stereo video at the decoder.",
keywords = "Image resolution, Standards",
author = "Holger Meuel and Marco Munderloh and J{\"o}rn Ostermann",
year = "2015",
month = oct,
day = "19",
doi = "10.1109/avss.2015.7301789",
language = "English",
booktitle = "AVSS 2015",
publisher = "Institute of Electrical and Electronics Engineers Inc.",
address = "United States",
note = "12th IEEE International Conference on Advanced Video and Signal Based Surveillance, AVSS 2015 ; Conference date: 25-08-2015 Through 28-08-2015",

}

Download

TY - GEN

T1 - Stereo Mosaicking and 3D-Video for Singleview HDTV Aerial Sequences using a Low Bit Rate ROI Coding Framework

AU - Meuel, Holger

AU - Munderloh, Marco

AU - Ostermann, Jörn

PY - 2015/10/19

Y1 - 2015/10/19

N2 - Low bit rate coding systems for the transmission of high quality aerial surveillance videos captured from UAVs are of high interest. One way to achieve high quality low bit rate video is to assume a planar surface of the earth, which is valid for sequences captured at high flight altitudes. Those systems only transmit the area of the current frame not contained in the previous frames (New Area) and reconstruct the already known areas by means of Global Motion Compensation (GMC) at decoder side. Although the bit rate can be reduced significantly compared to standardized video coders, no reconstruction of stereo video is possible at the decoder since each image pixel is transmitted only once and thus no motion parallax of objects can be observed in the reconstructed video. In this paper we present a coding system for stereo video reconstruction at very low bit rates. On-board the UAV we employ the camera path estimated from the image data to create a second view of a virtual camera. We derive convenient baseline distances and demonstrate the resulting perceptively good stereo impression for different test sequences. Similar to the coding concept introduced above we transmit a second New Area 2 in addition to the New Area already introduced. By doubling the bit rate to about 2 Mbit/s for a reasonable video quality of more than 38 dB, still saving more than 85% BD-rate compared to common HEVC coding, we are able to reconstruct a full HDTV (30 fps) stereo video at the decoder.

AB - Low bit rate coding systems for the transmission of high quality aerial surveillance videos captured from UAVs are of high interest. One way to achieve high quality low bit rate video is to assume a planar surface of the earth, which is valid for sequences captured at high flight altitudes. Those systems only transmit the area of the current frame not contained in the previous frames (New Area) and reconstruct the already known areas by means of Global Motion Compensation (GMC) at decoder side. Although the bit rate can be reduced significantly compared to standardized video coders, no reconstruction of stereo video is possible at the decoder since each image pixel is transmitted only once and thus no motion parallax of objects can be observed in the reconstructed video. In this paper we present a coding system for stereo video reconstruction at very low bit rates. On-board the UAV we employ the camera path estimated from the image data to create a second view of a virtual camera. We derive convenient baseline distances and demonstrate the resulting perceptively good stereo impression for different test sequences. Similar to the coding concept introduced above we transmit a second New Area 2 in addition to the New Area already introduced. By doubling the bit rate to about 2 Mbit/s for a reasonable video quality of more than 38 dB, still saving more than 85% BD-rate compared to common HEVC coding, we are able to reconstruct a full HDTV (30 fps) stereo video at the decoder.

KW - Image resolution

KW - Standards

UR - http://www.scopus.com/inward/record.url?scp=84958599692&partnerID=8YFLogxK

U2 - 10.1109/avss.2015.7301789

DO - 10.1109/avss.2015.7301789

M3 - Conference contribution

AN - SCOPUS:84958599692

BT - AVSS 2015

PB - Institute of Electrical and Electronics Engineers Inc.

T2 - 12th IEEE International Conference on Advanced Video and Signal Based Surveillance, AVSS 2015

Y2 - 25 August 2015 through 28 August 2015

ER -

Von denselben Autoren