This paper presents a video acquisition system that can learn automatic video capture from human's camera operations. Unlike a predefined camera control system, this system c...
Due to its static nature, the inference capability of Bayesian Networks (BNs) often deteriorates when the basis of input data varies, especially in video processing applications w...
Benny P. L. Lo, Surapa Thiemjarus, Guang-Zhong Yan...
A new algorithm for context modeling of binary sources with application to video compression is presented. Our proposed method is based on a tree rearrangement and tree selection ...
This paper studies joint security and robustness enhancement of quantization based data embedding for multimedia authentication applications. We present analysis showing that thro...
The binary Distortion Compensated Dither-Modulation (DCDM), which can be regarded to as a baseline for quantizationbased data-hiding methods, is rigorously analyzed. A novel and a...