| Title | Multi-domain Embedding Strategies for Video Steganography by Combining Partition Modes and Motion Vectors |
| Publication Type | Conference Paper |
| Year of Publication | 2019 |
| Authors | Zhai, Liming, Wang, Lina, Ren, Yanzhen |
| Conference Name | 2019 IEEE International Conference on Multimedia and Expo (ICME) |
| Date Published | jul |
| Keywords | -motion-vector, -multi-domain-embedding, -partition-mode, Binary codes, data encapsulation, digital video, discrete cosine transforms, distortion, distortion-minimization framework, embedding capacity, embedding domains, encoding, human factors, image motion analysis, MDE strategies, Metrics, minimisation, motion estimation, motion vectors, multidomain embedding strategies, MV domain, partition modes, potential security risks, pubcrawl, Quantization (signal), Resiliency, Scalability, security, Security Risk Estimation, sequential embedding, steganography, video signal processing, video steganography, Video-steganography |
| Abstract | Digital video has various types of entities, which are utilized as embedding domains to hide messages in steganography. However, nearly all video steganography uses only one type of embedding domain, resulting in limited embedding capacity and potential security risks. In this paper, we firstly propose to embed in multi-domains for video steganography by combining partition modes (PMs) and motion vectors (MVs). The multi-domain embedding (MDE) aims to spread the modifications to different embedding domains for achieving higher undetectability. The key issue of MDE is the interactions of entities across domains. To this end, we design two MDE strategies, which hide data in PM domain and MV domain by sequential embedding and simultaneous embedding respectively. These two strategies can be applied to existing steganography within a distortion-minimization framework. Experiments show that the MDE strategies achieve a significant improvement in security performance against targeted steganalysis and fusion based steganalysis. |
| DOI | 10.1109/ICME.2019.00243 |
| Citation Key | zhai_multi-domain_2019 |
Multi-domain Embedding Strategies for Video Steganography by Combining Partition Modes and Motion Vectors