公开(公告)号：US20160381389A1

公开(公告)日：2016-12-29

申请号：US15260302

申请日：2016-09-08

Applicant: Ningbo University

Inventor： Gangyi Jiang ,  Jing Wang ,  Yang Song ,  Hua Shao

IPC: H04N19/593 ,  H04N19/172 ,  H04N19/103 ,  H04N19/176 ,  H04N19/463 ,  H04N19/467 ,  H04N19/115

CPC classification number: H04N19/593 ,  H04N19/463 ,  H04N19/467 ,  H04N19/48 ,  H04N19/597

Abstract: The present invention disclosed a 3D-HEVC depth video information hiding method based on single-depth intra mode, which comprises information embedment part and information extraction part. During information embedment, if the pixels in the candidate list are equal using the encrypt information to modulate the index of the pixel and completes the embedment. If the pixels are different, judging the neighboring CU of the CU whose depth is 2 or 3 and modulating the index of the pixel to complete embedment of the hidden information. The advantage of the present invention is high security, low calculation complexity and small influence on data rate.

Abstract translation: 本发明公开了一种基于单深度模式的3D-HEVC深度视频信息隐藏方法，包括信息嵌入部分和信息提取部分。 在信息嵌入期间，如果候选列表中的像素相等，则使用加密信息来调制像素的索引并完成嵌入。 如果像素不同，则判断深度为2或3的CU的相邻CU，并调制像素的索引以完成隐藏信息的嵌入。 本发明的优点是安全性高，计算复杂度低，对数据速率影响小。

公开(公告)号：US20160029015A1

公开(公告)日：2016-01-28

申请号：US14486076

申请日：2014-09-15

Applicant: Ningbo University

Inventor： Gangyi Jiang ,  Yang Song ,  Shanshan Liu ,  Kaihui Zheng ,  Xin Jin

IPC: H04N17/00

CPC classification number: H04N17/004 ,  G06T7/0002 ,  G06T2207/10016 ,  G06T2207/20064 ,  G06T2207/30168

Abstract: A video quality evaluation method based on 3D wavelet transform utilizes 3D wavelet transform in the video quality evaluation, for transforming the group of pictures (GOP for short) of the video. By splitting the video sequence on a time axis, time-domain information of the GOPs is described, which to a certain extent solves a problem that the video time-domain information is difficult to be described, and effectively improves accuracy of objective video quality evaluation, so as to effectively improve relativity between the objective quality evaluation result and the subjective quality judged by the human eyes. For time-domain relativity between the GOPs, the method weighs the quality of the GOPs according to the motion intensity and the brightness, in such a manner that the method is able to better meet human visual characteristics.

Abstract translation: 基于3D小波变换的视频质量评估方法在视频质量评估中利用3D小波变换，对视频的图像组（简称为GOP）进行变换。 通过在时间轴上分割视频序列，描述了GOP的时域信息，这在一定程度上解决了难以描述视频时域信息的问题，并且有效地提高了客观视频质量评估的准确性 ，以有效提高客观质量评估结果与人眼判断主观素质之间的相关性。 对于GOP之间的时域相关性，该方法以使得该方法能够更好地满足人类视觉特征的方式根据运动强度和亮度来权衡GOP的质量。