Error-resilient coding for underwater video transmission

Yang Zhang; Shahriar Negahdaripour; Qingzhong Li

doi:10.1109/OCEANS.2016.7761300

Error-resilient coding for underwater video transmission

Yang Zhang, Shahriar Negahdaripour, Qingzhong Li

Electrical and Computer Engineering

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

34 Scopus citations

Abstract

Addressing transmission errors in underwater acoustic channels is a key challenge for the real-time video communication between an autonomous underwater vehicle and a surface station. In this paper, we propose an error-resilient video compression technique based on hybrid multiple descriptions and redundant pictures to overcome impact of packet loss in underwater acoustic transmission. Video sequences are split into two descriptions with selective redundant pictures in order to achieve a balance between coding efficiency and error resiliency. Experiments with underwater video sequences are presented to assess the performance of the proposed approach under various packet loss rates, in comparison to state-of-the-art single and multiple description coding techniques.

Original language	English (US)
Title of host publication	OCEANS 2016 MTS/IEEE Monterey, OCE 2016
Publisher	Institute of Electrical and Electronics Engineers Inc.
ISBN (Electronic)	9781509015375
DOIs	https://doi.org/10.1109/OCEANS.2016.7761300
State	Published - Nov 28 2016
Event	2016 OCEANS MTS/IEEE Monterey, OCE 2016 - Monterey, United States Duration: Sep 19 2016 → Sep 23 2016

Other

Other	2016 OCEANS MTS/IEEE Monterey, OCE 2016
Country	United States
City	Monterey
Period	9/19/16 → 9/23/16

Keywords

Error resiliency
Multiple description coding
Packet loss
Redundant picture
Underwater imagery
Video compression

ASJC Scopus subject areas

Instrumentation
Oceanography
Ocean Engineering

Access to Document

10.1109/OCEANS.2016.7761300

Fingerprint Dive into the research topics of 'Error-resilient coding for underwater video transmission'. Together they form a unique fingerprint.

Cite this

@inproceedings{7c7600ba6de846d1a5ec3846cba599b4,

title = "Error-resilient coding for underwater video transmission",

abstract = "Addressing transmission errors in underwater acoustic channels is a key challenge for the real-time video communication between an autonomous underwater vehicle and a surface station. In this paper, we propose an error-resilient video compression technique based on hybrid multiple descriptions and redundant pictures to overcome impact of packet loss in underwater acoustic transmission. Video sequences are split into two descriptions with selective redundant pictures in order to achieve a balance between coding efficiency and error resiliency. Experiments with underwater video sequences are presented to assess the performance of the proposed approach under various packet loss rates, in comparison to state-of-the-art single and multiple description coding techniques.",

keywords = "Error resiliency, Multiple description coding, Packet loss, Redundant picture, Underwater imagery, Video compression",

author = "Yang Zhang and Shahriar Negahdaripour and Qingzhong Li",

year = "2016",

month = nov,

day = "28",

doi = "10.1109/OCEANS.2016.7761300",

language = "English (US)",

booktitle = "OCEANS 2016 MTS/IEEE Monterey, OCE 2016",

publisher = "Institute of Electrical and Electronics Engineers Inc.",

note = "2016 OCEANS MTS/IEEE Monterey, OCE 2016 ; Conference date: 19-09-2016 Through 23-09-2016",

}

TY - GEN

T1 - Error-resilient coding for underwater video transmission

AU - Zhang, Yang

AU - Negahdaripour, Shahriar

AU - Li, Qingzhong

PY - 2016/11/28

Y1 - 2016/11/28

N2 - Addressing transmission errors in underwater acoustic channels is a key challenge for the real-time video communication between an autonomous underwater vehicle and a surface station. In this paper, we propose an error-resilient video compression technique based on hybrid multiple descriptions and redundant pictures to overcome impact of packet loss in underwater acoustic transmission. Video sequences are split into two descriptions with selective redundant pictures in order to achieve a balance between coding efficiency and error resiliency. Experiments with underwater video sequences are presented to assess the performance of the proposed approach under various packet loss rates, in comparison to state-of-the-art single and multiple description coding techniques.

AB - Addressing transmission errors in underwater acoustic channels is a key challenge for the real-time video communication between an autonomous underwater vehicle and a surface station. In this paper, we propose an error-resilient video compression technique based on hybrid multiple descriptions and redundant pictures to overcome impact of packet loss in underwater acoustic transmission. Video sequences are split into two descriptions with selective redundant pictures in order to achieve a balance between coding efficiency and error resiliency. Experiments with underwater video sequences are presented to assess the performance of the proposed approach under various packet loss rates, in comparison to state-of-the-art single and multiple description coding techniques.

KW - Error resiliency

KW - Multiple description coding

KW - Packet loss

KW - Redundant picture

KW - Underwater imagery

KW - Video compression

UR - http://www.scopus.com/inward/record.url?scp=85006952331&partnerID=8YFLogxK

UR - http://www.scopus.com/inward/citedby.url?scp=85006952331&partnerID=8YFLogxK

U2 - 10.1109/OCEANS.2016.7761300

DO - 10.1109/OCEANS.2016.7761300

M3 - Conference contribution

AN - SCOPUS:85006952331

BT - OCEANS 2016 MTS/IEEE Monterey, OCE 2016

PB - Institute of Electrical and Electronics Engineers Inc.

T2 - 2016 OCEANS MTS/IEEE Monterey, OCE 2016

Y2 - 19 September 2016 through 23 September 2016

ER -