SBIR Phase I: Novel photographic steganography to reduce digital piracy on live streaming platforms

小型企业创新研究(SBIR)第一阶段项目的更广泛影响将是通过首创开发一种强大的视频盗版检测方法来检测屏幕到相机的视频盗版行为，该方法独特地将相机-显示器消息应用于版权保护，同时保持网络质量标准。现有的水印解决方案不能可靠地处理视频盗版，即用户上传使用智能手机摄像头捕获的盗版媒体；它们要么无法检测到视频盗版，要么表现出有害的过敏性。拟议的解决方案通过在视频内容中嵌入唯一和不可提取的水印来平衡这两个问题，从而提高了平台将上传的内容与受版权保护的数据库中的消息准确匹配的能力。由此产生的技术将允许检测摄像头捕获的图像和视频中的版权信息，以便发行商可以自动过滤非法分享受版权保护的材料，从而极大地减少社交媒体公司的责任-以及代价高昂的版权侵权罚款。这个小型企业创新研究(SBIR)第一阶段项目旨在开发一种创新的相机-显示器信息系统，该系统使用摄影隐写技术在所显示的视频中嵌入秘密信息，以满足检测屏幕到相机视频盗版的需求。虽然照相隐写技术已经应用于静止图像，但视频信息的嵌入会因为可感知伪影的存在而变得复杂，这些伪影会降低视觉质量。该项目提出使用新颖的适应视频内容的时空嵌入来减少视觉伪影并支持消息恢复。该方法绕过了传统网格系统基于伪像的限制，支持标准的观看质量。以下第一阶段目标将确定技术和商业可行性：1)开发可处理多种压缩变化的视频压缩模型；2)开发最优的自适应时空嵌入方法，在保持高准确率的同时减少观察到的视觉伪影；3)设计和实施成对比较协议感知度量以评估消息嵌入后的视频质量；4)开发实时稳健的屏幕检测和分割算法。该奖项反映了NSF的法定使命，并通过使用基金会的智力优势和更广泛的影响审查标准进行评估，被认为值得支持。

The broader impact of this Small Business Innovation Research (SBIR) Phase I project will be to detect screen-to-camera video piracy, through first-in-kind development of a robust video piracy detection method that uniquely applies camera-display messaging to copyright protection, while maintaining network quality standards. Existing watermarking solutions cannot reliably handle video-in-video piracy, where users upload pirated media captured using a smartphone camera; either they fail to detect video piracy or exhibit injurious hypersensitivity. The proposed solution balances these two concerns by embedding unique and unextractable watermarks into video content, thereby improving the ability for platforms to accurately match uploaded content with messages in the copyright-protected database. The resulting technology will allow for the detection of copyright information in camera-captured images and video, so that distributors can automatically filter against the illegal sharing of copyright-protected material, dramatically reducing liability—and costly copyright infringement fines—for social media companies. This Small Business Innovation Research (SBIR) Phase I project seeks to develop an innovative camera-display message system that uses photographic steganography to embed covert messages in displayed video, addressing the need to detect screen-to-camera video piracy. Although photographic steganography has been applied to still images, video message embedding is complicated by the presence of perceptible artifacts that degrade visual quality. This project proposes to use novel spatio-temporal embedding that adapts to video content to reduce visual artifacts and support message recovery. This method circumvents the artifact-based constraints of traditional grid systems and will support the standard viewing quality. The following Phase I objectives will establish technical and commercial feasibility: 1) develop a video compression model that can handle multiple compression variations; 2) develop an optimal adaptive spatio-temporal embedding approach that reduces observed visual artifacts while maintaining a high accuracy rate; 3) design and implement a paired comparison protocol perceptual metric to evaluate video quality after message embedding; 4) develop a real-time robust screen detection and segmentation algorithm.This award reflects NSF's statutory mission and has been deemed worthy of support through evaluation using the Foundation's intellectual merit and broader impacts review criteria.