Seafloor video compression using adaptive hybrid wavelets and directional filter banks

Yang Zhang, Qingzhong Li, Shahriar Negahdaripour

Research output: Chapter in Book/Report/Conference proceedingConference contribution

1 Citation (Scopus)

Abstract

In this paper, a new video compression technique based on adaptive hybrid wavelets and directional filter banks is proposed to achieve both high coding efficiency and good reconstruction quality at very low-bit rates. A key application is the real-time transmission of video from an autonomous underwater vehicle to a surface station, e.g., for man-in-the-loop monitoring and inspection operations, through acoustic channels that have limited bandwidth. The proposed method can maintain details in texture regions at relatively low bit rates, while overcoming the ringing artifacts within smooth regions, for intra-frame coding. For inter-frame coding, improved efficiency is achieved by making use of: 1) a new spatio-temporal just-noticeable-distortion model to remove perceptual redundancy; 2) motion interpolation to reduce bit rate; 3) variable-precision in quantizing the residual error; and 4) block inter-leaver to reduce transmission errors. Experiments with underwater video sequences are presented to assess the effectiveness of the proposed approach, in comparison to traditional wavelet-based techniques.

Original languageEnglish (US)
Title of host publicationOCEANS 2015 - MTS/IEEE Washington
PublisherInstitute of Electrical and Electronics Engineers Inc.
ISBN (Print)9780933957435
StatePublished - Feb 8 2016
EventMTS/IEEE Washington, OCEANS 2015 - Washington, United States
Duration: Oct 19 2015Oct 22 2015

Other

OtherMTS/IEEE Washington, OCEANS 2015
CountryUnited States
CityWashington
Period10/19/1510/22/15

Fingerprint

video compression
Filter banks
Image compression
wavelet
coding
seafloor
compression
filter
filters
underwater vehicles
ringing
Autonomous underwater vehicles
autonomous underwater vehicle
redundancy
interpolation
Redundancy
artifact
artifacts
inspection
Interpolation

Keywords

  • directional filter banks
  • just-noticeable distortion
  • low-bit-rate coding
  • underwater imagery
  • video compression
  • wavelet

ASJC Scopus subject areas

  • Signal Processing
  • Oceanography
  • Ocean Engineering
  • Instrumentation
  • Acoustics and Ultrasonics

Cite this

Zhang, Y., Li, Q., & Negahdaripour, S. (2016). Seafloor video compression using adaptive hybrid wavelets and directional filter banks. In OCEANS 2015 - MTS/IEEE Washington [7404558] Institute of Electrical and Electronics Engineers Inc..

Seafloor video compression using adaptive hybrid wavelets and directional filter banks. / Zhang, Yang; Li, Qingzhong; Negahdaripour, Shahriar.

OCEANS 2015 - MTS/IEEE Washington. Institute of Electrical and Electronics Engineers Inc., 2016. 7404558.

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Zhang, Y, Li, Q & Negahdaripour, S 2016, Seafloor video compression using adaptive hybrid wavelets and directional filter banks. in OCEANS 2015 - MTS/IEEE Washington., 7404558, Institute of Electrical and Electronics Engineers Inc., MTS/IEEE Washington, OCEANS 2015, Washington, United States, 10/19/15.
Zhang Y, Li Q, Negahdaripour S. Seafloor video compression using adaptive hybrid wavelets and directional filter banks. In OCEANS 2015 - MTS/IEEE Washington. Institute of Electrical and Electronics Engineers Inc. 2016. 7404558
Zhang, Yang ; Li, Qingzhong ; Negahdaripour, Shahriar. / Seafloor video compression using adaptive hybrid wavelets and directional filter banks. OCEANS 2015 - MTS/IEEE Washington. Institute of Electrical and Electronics Engineers Inc., 2016.
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