A data embedding technique for spatial scalable coded video using motion vector predictor

Lielin Pang, Koksheik Wong

Research output: Chapter in Book/Report/Conference proceedingConference PaperResearchpeer-review

3 Citations (Scopus)

Abstract

This work aims to embed data into scalable coded video by manipulating the syntax elements related to motion vectors. The payload is improved by forcing the prediction blocks to be coded by using smaller block sizes, which directly results in having more manipulable syntax elements to embed data. A threshold is introduced to guide the rate-distortion optimization and data embedding processes. Experimental results suggest that higher payload is achieved when smaller prediction blocks are coded at slightly higher bit rate, with negligible degradation in perceptual video quality. In the best case scenario, 475, 691 bits are embedded into the PartyScene test video sequence while PSNR drops by 0.06dB with a bit rate overhead of 4.72%.

Original languageEnglish
Title of host publication2019 IEEE International Conference on Image Processing, ICIP 2019 - Proceedings
EditorsWen-Hsiao Peng
Place of PublicationPiscataway NJ USA
PublisherIEEE, Institute of Electrical and Electronics Engineers
Pages4050-4054
Number of pages5
ISBN (Electronic)9781538662496
ISBN (Print)9781538662502
DOIs
Publication statusPublished - 2019
EventIEEE International Conference on Image Processing 2019 - Taipei, Taiwan
Duration: 22 Sept 201925 Sept 2019
Conference number: 26th
https://ieeexplore.ieee.org/xpl/conhome/8791230/proceeding (Proceedings)

Publication series

NameProceedings - International Conference on Image Processing, ICIP
PublisherThe Institute of Electrical and Electronics Engineers, Inc.
Volume2019-September
ISSN (Print)1522-4880

Conference

ConferenceIEEE International Conference on Image Processing 2019
Abbreviated titleICIP 2019
Country/TerritoryTaiwan
CityTaipei
Period22/09/1925/09/19
Internet address

Keywords

  • co-located blocks
  • data embedding
  • Motion vector predictor
  • SHVC

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