A multiresolution video watermarking scheme integrated with feature detection

Abstract

This study proposes protecting copyright by embedding watermarks into a video, via embedding a frame block containing high intensity, high texture and motion features to improve the robustness of the watermark embedded in the spatial domain. Since the human visual system (HVS) cannot sense variations caused by high brightness, high texture, and fast motion regions within the video, this study developed an adaptive watermarking technique to embed watermark signals into these regions. Within this context, the study first required dividing a digital video into various frames consisting of several blocks prior to transforming them via discrete wavelet transform. The proposed method then utilized a spread spectrum incorporating just noticeable differences to embed the watermark into the feature blocks or non-feature blocks. Results show that this method can resist attacks operated by linear transformations, including average, frame reduction, and frame shuttle, and can obtain better performance than traditional schemes.

Video Watermarking Techniques: A Review

“…A multi resolution approximation can be obtained with perfect reconstruction using DWT. Most of the algorithms [31][32][33] divide the video into time frames and perform discrete wavelet transform on those frames. The proposed methods utilized various features like texture, edges, motion, etc.…”

Robust Optimized Discrete Wavelet Transform-Singular Value Decomposition Based Video Watermarking

“…A wavelet transform is practiced while concealing the watermark in the video. A new video watermarking scheme is presented in which the watermark is concealed in the frames which has more intensity, texture and motion [17]. This process aid in enhancing the robustness of the video watermarking.…”