Article ID Journal Published Year Pages File Type
538289 Signal Processing: Image Communication 2012 10 Pages PDF
Abstract

This paper proposes a multitier data hiding solution in MPEG video using matrix encoding. In the first tier of the proposed solution, raw video is encoded into two layers using multilayer Signal to Noise Ratio (SNR) encoding. During the multilayer encoding process, the quantization scales and coding parameters are stored. In the second tier, message bits are embedded in the stored quantization scales using matrix encoding. In the third and last tier, the raw video is encoded again into two layers using the modulated quantization scales and coding parameters of the first encoder. The proposed multitier solution is extended by replacing the multilayer encoder with a multilayer transcoder to accommodate situations in which the video exists in pre-coded format only. By the use of multilayer encoder or transcoding, we show that the message payload can be doubled without adversely affecting the coding quality or bitrate of the host video. We also show that message embedding using matrix encoding can be extended to modulate motion vectors. The paper also proposes two solutions for motion vector modulation based on the availability of the raw video. In comparison to existing work, the proposed solutions have higher message payloads, lower degradation in video quality and result in reduced excessive bitrate.

► Use multilayer video coding and transcoding for message embedding in quantization scales to increase the message payload. ► Use of multilayer video coding and transcoding for embedding message results attenuating the video distortion and excessive bitrate. ► Matrix encoding can be used for modulating quantization scales and motion vectors. ► The message payload in motion vector modulation is high because of the abundance of motion vectors in a coded video bitstream. ► In comparison to quantization scale modulation, modifying the values of motion vectors results in less efficient video encoding.

Related Topics
Physical Sciences and Engineering Computer Science Computer Vision and Pattern Recognition
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