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A Data Hiding Technique to Synchronously Embed Physiological Signals in H.264/AVC Encoded Video for Medicine Healthcare.

Peña R, Ávila A, Muñoz D, Lavariega J - Biomed Res Int (2015)

Bottom Line: The recognition of clinical manifestations in both video images and physiological-signal waveforms is an important aid to improve the safety and effectiveness in medical care.The experimental results revealed successful embedding and full restoration of signal's samples.Our results also demonstrated a small distortion in the video objective quality, a small increment in bit-rate, and embedded cost savings of -2.6196% for high and medium motion video sequences.

View Article: PubMed Central - PubMed

Affiliation: Tecnológico de Monterrey, 64849 Monterrey, NL, Mexico.

ABSTRACT
The recognition of clinical manifestations in both video images and physiological-signal waveforms is an important aid to improve the safety and effectiveness in medical care. Physicians can rely on video-waveform (VW) observations to recognize difficult-to-spot signs and symptoms. The VW observations can also reduce the number of false positive incidents and expand the recognition coverage to abnormal health conditions. The synchronization between the video images and the physiological-signal waveforms is fundamental for the successful recognition of the clinical manifestations. The use of conventional equipment to synchronously acquire and display the video-waveform information involves complex tasks such as the video capture/compression, the acquisition/compression of each physiological signal, and the video-waveform synchronization based on timestamps. This paper introduces a data hiding technique capable of both enabling embedding channels and synchronously hiding samples of physiological signals into encoded video sequences. Our data hiding technique offers large data capacity and simplifies the complexity of the video-waveform acquisition and reproduction. The experimental results revealed successful embedding and full restoration of signal's samples. Our results also demonstrated a small distortion in the video objective quality, a small increment in bit-rate, and embedded cost savings of -2.6196% for high and medium motion video sequences.

No MeSH data available.


Related in: MedlinePlus

The block diagram of our proposed data hiding technique based on H.264/AVC encoder.
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fig4: The block diagram of our proposed data hiding technique based on H.264/AVC encoder.

Mentions: Our proposed technique, illustrated in Figure 4, repeats the gray blocks until no samples are available. The blocks in gray are the additional routines needed to implement our proposed data hiding algorithm. The alternate path executes the original H.264/AVC motion estimation process. Algorithm 1 presents details of our data hiding algorithm for encoding. Our technique hides the signal samples in the motion vectors of each block partition located at a frame. Each motion vectors hides two bits of a signal sample. Our technique hides no samples in the block types I4 MB and I16 MB due to their association with intraframe prediction. Our technique is also unable to hide samples into PSKIP blocks due to the lack of motion vectors.


A Data Hiding Technique to Synchronously Embed Physiological Signals in H.264/AVC Encoded Video for Medicine Healthcare.

Peña R, Ávila A, Muñoz D, Lavariega J - Biomed Res Int (2015)

The block diagram of our proposed data hiding technique based on H.264/AVC encoder.
© Copyright Policy - open-access
Related In: Results  -  Collection

Show All Figures
getmorefigures.php?uid=PMC4561930&req=5

fig4: The block diagram of our proposed data hiding technique based on H.264/AVC encoder.
Mentions: Our proposed technique, illustrated in Figure 4, repeats the gray blocks until no samples are available. The blocks in gray are the additional routines needed to implement our proposed data hiding algorithm. The alternate path executes the original H.264/AVC motion estimation process. Algorithm 1 presents details of our data hiding algorithm for encoding. Our technique hides the signal samples in the motion vectors of each block partition located at a frame. Each motion vectors hides two bits of a signal sample. Our technique hides no samples in the block types I4 MB and I16 MB due to their association with intraframe prediction. Our technique is also unable to hide samples into PSKIP blocks due to the lack of motion vectors.

Bottom Line: The recognition of clinical manifestations in both video images and physiological-signal waveforms is an important aid to improve the safety and effectiveness in medical care.The experimental results revealed successful embedding and full restoration of signal's samples.Our results also demonstrated a small distortion in the video objective quality, a small increment in bit-rate, and embedded cost savings of -2.6196% for high and medium motion video sequences.

View Article: PubMed Central - PubMed

Affiliation: Tecnológico de Monterrey, 64849 Monterrey, NL, Mexico.

ABSTRACT
The recognition of clinical manifestations in both video images and physiological-signal waveforms is an important aid to improve the safety and effectiveness in medical care. Physicians can rely on video-waveform (VW) observations to recognize difficult-to-spot signs and symptoms. The VW observations can also reduce the number of false positive incidents and expand the recognition coverage to abnormal health conditions. The synchronization between the video images and the physiological-signal waveforms is fundamental for the successful recognition of the clinical manifestations. The use of conventional equipment to synchronously acquire and display the video-waveform information involves complex tasks such as the video capture/compression, the acquisition/compression of each physiological signal, and the video-waveform synchronization based on timestamps. This paper introduces a data hiding technique capable of both enabling embedding channels and synchronously hiding samples of physiological signals into encoded video sequences. Our data hiding technique offers large data capacity and simplifies the complexity of the video-waveform acquisition and reproduction. The experimental results revealed successful embedding and full restoration of signal's samples. Our results also demonstrated a small distortion in the video objective quality, a small increment in bit-rate, and embedded cost savings of -2.6196% for high and medium motion video sequences.

No MeSH data available.


Related in: MedlinePlus