Computing real-time holographic video content with off-the-shelf PC hardware

2004 ◽  
Author(s):  
Tyeler Quentmeyer ◽  
V. Michael Bove ◽  
Wendy J. Plesniak
Keyword(s):  
Real Time ◽  
Video Content

scholarly journals Real-time video content analysis tool for consumer media storage system

2006 ◽  
Vol 52 (3) ◽  
pp. 870-878 ◽  
Author(s):  
Jungong Han ◽  
D. Farin ◽  
P.H.N. de With ◽  
Weilun Lao
Keyword(s):  
Content Analysis ◽  
Real Time ◽  
Storage System ◽  
Analysis Tool ◽  
Video Content ◽  
Video Content Analysis ◽  
Media Storage

Performance evaluation of real-time video content analysis systems in the CANDELA project

2005 ◽  
Author(s):  
Xavier Desurmont ◽  
Rob Wijnhoven ◽  
Egbert Jaspers ◽  
Olivier Caignart ◽  
Mike Barais ◽  
...  
Keyword(s):  
Content Analysis ◽  
Performance Evaluation ◽  
Real Time ◽  
Video Content ◽  
Video Content Analysis

scholarly journals A Novel Real-Time Virtual 3D Object Composition Method for 360° Video

2020 ◽  
Vol 10 (23) ◽  
pp. 8679
Author(s):  
Jaehyun Lee ◽  
Sungjae Ha ◽  
Philippe Gentet ◽  
Leehwan Hwang ◽  
Soonchul Kwon ◽  
...  
Keyword(s):  
High Resolution ◽  
Real Time ◽  
Feature Tracking ◽  
Focal Length ◽  
Video Content ◽  
External Position ◽  
Object Composition ◽  
Time Position ◽  
Rotation Parameters ◽  
Stitching Errors

As highly immersive virtual reality (VR) content, 360° video allows users to observe all viewpoints within the desired direction from the position where the video is recorded. In 360° video content, virtual objects are inserted into recorded real scenes to provide a higher sense of immersion. These techniques are called 3D composition. For a realistic 3D composition in a 360° video, it is important to obtain the internal (focal length) and external (position and rotation) parameters from a 360° camera. Traditional methods estimate the trajectory of a camera by extracting the feature point from the recorded video. However, incorrect results may occur owing to stitching errors from a 360° camera attached to several high-resolution cameras for the stitching process, and a large amount of time is spent on feature tracking owing to the high-resolution of the video. We propose a new method for pre-visualization and 3D composition that overcomes the limitations of existing methods. This system achieves real-time position tracking of the attached camera using a ZED camera and a stereo-vision sensor, and real-time stabilization using a Kalman filter. The proposed system shows high time efficiency and accurate 3D composition.

scholarly journals Real-Time Mobile Emotional Content Player Using Smartphone Camera-Based PPG Measurement

2019 ◽  
Vol 2019 ◽  
pp. 1-12 ◽  
Author(s):  
Haena Lee ◽  
Dong Keun Kim
Keyword(s):  
University Students ◽  
Real Time ◽  
Cardiac Disease ◽  
Emotional Response ◽  
Emotional Content ◽  
Interactive System ◽  
Time Interval ◽  
Test Results ◽  
Video Content ◽  
Emotional Changes

A real-time mobile content player was developed that can recognize and reflect emotions in real time using a smartphone. To determine effective awareness, a photoplethysmogram (PPG), which is a biological signal, was measured to recognize emotional changes in users presented with content intended to induce an emotional response. To avoid the need for a separate sensor to measure the PPG, PPG signals were extracted from the red (R) values of images acquired by the rear camera of a smartphone. To reflect an emotion, the saturation (S) and brightness (V) levels, which are related to the ambience of a content, are changed to reflect the emotional changes of the user within the content itself in real time. Arousal- and relaxation-inducing scenarios were conducted to validate the effectiveness. The samplet-test results show that the average peak-to-peak interval (PPI), which is the time interval between the peaks of PPG signals, was significantly low when viewing the content under the arousal-inducing scenario as compared to when watching regular content, and it was determined that the emotion of the user was led to a state of arousal. Ten university students (five males and five females) participated in the experiment. The users had no cardiac disease and were asked not to drink or smoke before the experiment. The average PPI was significantly higher when the content was viewed in the relaxation-inducing scenario compared to regular content, and it was determined that the emotion of the user was induced to a state of relaxation. The designed emotional content player was confirmed to be an interactive system, in which the video content and user concurrently affect each other through the system.

Enhancing Online Education Using Collaboration Solutions

2003 ◽  
Vol 31 (4) ◽  
pp. 361-380 ◽  
Author(s):  
Shuzhi Sam Ge ◽  
Meng Yong Tok
Keyword(s):  
Online Education ◽  
Real Time ◽  
Internet Protocol ◽  
User Interaction ◽  
Ip Networks ◽  
Traditional Education ◽  
Video Content ◽  
Internet Technologies ◽  
Local Computer ◽  
Remote Sites

With the advances in Internet technologies, online education is fast gaining ground as an extension to traditional education. Webcast allows lectures conducted on campus to be viewed by students located at remote sites by streaming the audio and video content over Internet Protocol (IP) networks. However when used alone, webcast does not provide the form of user-to-user interaction that is so important in education. This article presents a collaboration system that can be used to facilitate interaction among users in a live webcast environment. The collaboration system supports real-time communication in both text and audio modes. To allow discussions to be carried out in an orderly manner, a virtual hand-raising scheme is implemented to put more control in the hands of the instructor. Using a topic browser, students can access content of previous discussions and use them as reference sources for any new question they may wish to raise. To allow offline viewing, the discussion content are automatically saved to the local computer at the end of each collaboration session.

scholarly journals Real-Time Video Content Popularity Detection Based on Mean Change Point Analysis

IEEE Access ◽  
2019 ◽  
Vol 7 ◽  
pp. 142246-142260 ◽  
Author(s):  
Sotiris Skaperas ◽  
Lefteris Mamatas ◽  
Arsenia Chorti
Keyword(s):  
Real Time ◽  
Change Point ◽  
Change Point Analysis ◽  
Video Content ◽  
Point Analysis ◽  
Content Popularity
Sign in / Sign up

Export Citation Format

Share Document