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Content Provider | IET Digital Library |
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Author | Shanableh, Tamer |
Abstract | A data embedding solution in HEVC videos is proposed by modifying the partitioning of coding units (CUs). The partitions of a CU are first represented as a sequence of binary flags. The flags pertaining to 16 × 16 sub CUs are used as a cover for data embedding, where 6 or 4 message bits are embedded per CU. The data embedding algorithm guarantees that a maximum of one partition is modified per message segment, therefore, in a given CU, either 0, 1 or 2 partitions are modified. The proposed solution is assessed in terms of message payload, number of modified partitions, loss in video quality as indicated by the PSNR results, mean objective scores and excessive bitrate. The proposed solution can embed messages with up to an average payload of 32.6 kbit/s with a corresponding average distortion of <0.5 dB. Comparisons with existing solutions reveal that the proposed solution maintains similar message payloads with less modifications of CU partitioning and at the same time resulting in less distortions for the cover video. |
Starting Page | 1909 |
Ending Page | 1913 |
Page Count | 5 |
ISSN | 17519659 |
Volume Number | 13 |
e-ISSN | 17519667 |
Issue Number | Issue 11, Sep (2019) |
Alternate Webpage(s) | https://digital-library.theiet.org/content/journals/iet-ipr/13/11 |
Alternate Webpage(s) | https://digital-library.theiet.org/content/journals/10.1049/iet-ipr.2018.5782 |
Journal | IET Image Processing |
Publisher Date | 2019-07-02 |
Access Restriction | Open |
Rights Holder | © The Institution of Engineering and Technology |
Subject Keyword | Binary Flags Coding Units Computer Vision And Image Processing Technique Cover Video CU Partitioning Data Embedding Algorithm HEVC Video Image And Video Coding Message Bits Message Payload Message Segment Modified Partitions PSNR Video Coding Video Quality Video Signal Processing |
Content Type | Text |
Resource Type | Article |
Subject | Signal Processing Electrical and Electronic Engineering Computer Vision and Pattern Recognition Software |
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