An adaptive scheme for compressed video steganography using temporal and spatial features of the video signal

Abstract

Steganography is the art and science of data hiding. This article proposes an adaptive steganographic algorithm that embeds secret data in a compressed video stream using temporal and spatial features of the video signal and human visual system characteristics. Qualified-DCT coefficients of I-VOP and motion vectors of P-VOP and B-VOP are used for spatial and temporal features of the video, respectively. Embedded-data are extracted without using the original video and there is no need for full decompression. Experimental results demonstrate that the proposed algorithm has high imperceptibility and capacity. Furthermore, the bit rate remains approximately constant.

The Pixogram: Addressing High Payload Demands for Video Steganography

“…This additional dimension introduces some additional properties such as motion vectors, and motion components [7]. In [24], an adaptive steganography scheme hides data in a compressed video stream using temporal and spatial features of the cover video and human visual system concept.…”

Comparison of Video Steganography Methods for Watermark Embedding

“…A unified approach for practical comparison and measurement of video steganography algorithms as well as a framework for it is still missing. Other authors have also considered adaptive approaches, see [23] for an approach based on motion vectors and [24] for an approach based on regions of interest as examples. Facebook has also been selected as a possible channel for distributing stegocontainers in [7], which had little success with video steganography.…”

Various Techniques in Video Steganography - A Review

“…The method did not require the original video signal or bit stream for data extraction. The algorithm was performed for different bit rates and experimental results indicated that this algorithm had high visual quality and embedding capacity [10].…”