An automatic video-object based steganographic system for multi-use message hiding using wavelet transform

2003 ◽  
Author(s):  
K.S. Ntalianis ◽  
N.D. Doulamis ◽  
A.D. Doulamis ◽  
S.D. Kollias
Keyword(s):  
Wavelet Transform ◽  
Video Object ◽  
Object Based

MPEG-4 video object-based rate allocation with variable temporal rates

2002 ◽  
Vol 38 (19) ◽  
pp. 1088 ◽  
Author(s):  
Jeong-Woo Lee ◽  
A. Vetro ◽  
Yao Wang ◽  
Yo-Sung Ho
Keyword(s):  
Rate Allocation ◽  
Video Object ◽  
Object Based

scholarly journals Costs and Advantages of Object-Based Image Coding with Shape-Adaptive Wavelet Transform

2007 ◽  
Vol 2007 ◽  
pp. 1-13 ◽  
Author(s):  
Marco Cagnazzo ◽  
Sara Parrilli ◽  
Giovanni Poggi ◽  
Luisa Verdoliva
Keyword(s):  
Wavelet Transform ◽  
Image Coding ◽  
Adaptive Wavelet ◽  
Object Based ◽  
Adaptive Wavelet Transform

Video Object Segmentation

2009 ◽  
pp. 809-816 ◽  
Author(s):  
Ee Ping Ong ◽  
Weisi Lin
Keyword(s):  
Object Segmentation ◽  
Research Effort ◽  
Complete Solution ◽  
Cost Savings ◽  
Traffic Monitoring ◽  
Video Object Segmentation ◽  
Video Object ◽  
Home Office ◽  
Practical Applications ◽  
Object Based

Video object segmentation aims to extract different video objects from a video (i.e., a sequence of consecutive images). It has attracted vast interests and substantial research effort for the past decade because it is a prerequisite for visual content retrieval (e.g., MPEG-7 related schemes), object-based compression and coding (e.g., MPEG-4 codecs), object recognition, object tracking, security video surveillance, traffic monitoring for law enforcement, and many other applications. Video object segmentation is a nonstandardized but indispensable component for an MPEG4/7 scheme in order to successfully develop a complete solution. In fact, in order to utilize MPEG-4 object-based video coding, video object segmentation must first be carried out to extract the required video object masks. Video object segmentation is an even more important issue in military applications such as real-time remote missile/vehicle/soldier’s identification and tracking. Other possible applications include home/office/warehouse security where monitoring and recording of intruders/foreign objects, alarming the personnel concerned or/and transmitting the segmented foreground objects via a bandwidth-hungry channel during the appearance of intruders are of particular interest. Thus, it can be seen that fully automatic video object segmentation tool is a very useful tool that has very wide practical applications in our everyday life where it can contribute to improved efficiency, time, manpower, and cost savings.

Research of Object-Oriented 3D Video Coding Segmentation

2013 ◽  
Vol 303-306 ◽  
pp. 2254-2259
Author(s):  
Jian Zhang ◽  
Zhi Ye Huang ◽  
Jin Xiang Peng
Keyword(s):  
Video Coding ◽  
Change Detection ◽  
High Order ◽  
3D Video ◽  
Video Object ◽  
Disparity Map ◽  
Video Objects ◽  
Object Based ◽  
3D Video Coding ◽  
Statistical Change

This paper presents an algorithm about the extraction of left channel video object which based on high-order statistical change detection and the segmentation of right channel video object based on parallax matching. This algorithm combines the advantages of disparity map segmentation and multiple frame difference motion segmentation. First of all, through the segmentation of the parallax matching video objects in the right channel, we can get primary partition templates in different layers of parallax targets; Secondary with high-order statistical change detection, we can extract video objects in the left channel from templates. Finally we obtain the accurate moving target. Based on 3D multi-view video segmentation, we use H.264-based method to encode the main image flow and then get object-based 3D video coding

Sign in / Sign up

Export Citation Format

Share Document