With the rapid advancement in digital technologies, video rises to become one of the most effective communication tools that continues to gain popularity and importance. As a result, various proposals are put forward to manage videos, and one of them is data embedding. Essentially, data embedding inserts data into the video to serve a specific purpose, including proof of ownership via watermark, covert communication in steganography, and authentication via fragile watermark. However, most conventional methods embed data by using only one type of syntax element defined in the video coding standard, which may suffer from large bit rate overhead, quality degradation, or low payload. Therefore, this work aims to explore the combined use of multiple prediction syntax elements in SHVC for the purpose of data embedding. Specifically, the intra prediction mode, motion vector predictor, motion vector difference, merge mode and coding block structure are collectively manipulated to embed data. The experimental results demonstrate that, in comparison to the conventional single-venue data embedding methods, the combined use of prediction syntax elements can achieve higher payload while preserving the perceptual quality with minimal bit rate variation. In the best case scenario, a total of 556.1 kbps is embedded into the video sequence PartyScene with a drop of 0.15 dB in PSNR while experiencing a bit rate overhead of 7.4% when all prediction syntax elements are utilized altogether. A recommendation is then put forward to choose specific types of syntax element for data embedding based on the characteristics of the video.

随着数字技术的快速发展，视频逐渐成为最有效的通信工具之一，并继续受到欢迎和重视。因此，提出了各种管理视频的建议，其中之一是数据嵌入。本质上，数据嵌入将数据插入视频中以服务于特定目的，包括通过水印证明所有权、隐写术中的秘密通信以及通过脆弱水印进行身份验证。然而，大多数传统方法仅通过使用视频编码标准中定义的一种语法元素来嵌入数据，这可能会遭受大比特率开销、质量下降或低有效载荷的影响。因此，这项工作旨在探索 SHVC 中多个预测语法元素的组合使用，以实现数据嵌入。具体来说，帧内预测模式、运动矢量预测器、运动矢量差、合并模式和编码块结构被共同操纵以嵌入数据。实验结果表明，与传统的单场数据嵌入方法相比，预测句法元素的组合使用可以实现更高的有效载荷，同时保持感知质量，比特率变化最小。在最好的情况下，总共 556.1 kbps 嵌入到视频序列中 预测语法元素的组合使用可以实现更高的有效载荷，同时以最小的比特率变化保持感知质量。在最好的情况下，总共 556.1 kbps 嵌入到视频序列中 预测语法元素的组合使用可以实现更高的有效载荷，同时以最小的比特率变化保持感知质量。在最好的情况下，总共 556.1 kbps 嵌入到视频序列中当完全使用所有预测语法元素时， PartyScene的 PSNR 下降了 0.15 dB，而比特率开销为 7.4%。然后提出建议，根据视频的特征选择特定类型的语法元素进行数据嵌入。