Details
| Original language | English |
|---|---|
| Title of host publication | AVSS 2015 |
| Subtitle of host publication | 12th IEEE International Conference on Advanced Video and Signal Based Surveillance |
| Publisher | Institute of Electrical and Electronics Engineers Inc. |
| ISBN (electronic) | 9781467376327 |
| Publication status | Published - 19 Oct 2015 |
| Event | 12th IEEE International Conference on Advanced Video and Signal Based Surveillance, AVSS 2015 - Karlsruhe, Germany Duration: 25 Aug 2015 → 28 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.
Keywords
- Image resolution, Standards
ASJC Scopus subject areas
- Computer Science(all)
- Computer Networks and Communications
- Engineering(all)
- Electrical and Electronic Engineering
- Social Sciences(all)
- Communication
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AVSS 2015 : 12th IEEE International Conference on Advanced Video and Signal Based Surveillance. Institute of Electrical and Electronics Engineers Inc., 2015. 7301789.
Research output: Chapter in book/report/conference proceeding › Conference contribution › Research › peer review
}
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 -