Retrieving Instructional Video Content from Speech and Text Information

2016 ◽  
pp. 311-322 ◽  
Author(s):  
Ashwini Y. Kothawade ◽  
Dipak R. Patil
Keyword(s):  
Instructional Video ◽  
Video Content ◽  
Text Information

Danmaku Related to Video Content Facilitates Learning

2018 ◽  
Vol 47 (3) ◽  
pp. 359-372
Author(s):  
Yabo Zhang ◽  
Aiping Qian ◽  
Zhongling Pi ◽  
Jiumin Yang
Keyword(s):  
Cognitive Load ◽  
Social Presence ◽  
Online Courses ◽  
Massive Open Online Courses ◽  
Instructional Video ◽  
Video Content ◽  
Massive Open Online ◽  
Learning Satisfaction ◽  
Quasi Experimental ◽  
The Impact

Massive open online courses are one of the most prominent trends in higher education in recent years. Instructional videos play a significant role in the massive open online courses platform. This study tested the impact of sending danmaku related to video content versus sending danmaku not related to video content versus not sending danmaku in instructional video. We assessed students’ achievement, learning satisfaction, social presence, and cognitive load. Adopting a quasi-experimental design, we collected data from 137 participants. Result revealed that the danmaku related to video content improved social presence, learning satisfaction, and learning achievement but created more cognitive load.

OVERVIEW OF THE TEXT AREA DETECTION ALGORITHMS IN VIDEO STREAM FRAMES

2020 ◽  
pp. 27-45
Author(s):  
Nikolai V. Silakov ◽  
◽  
Kirill L. Tassov ◽  
Keyword(s):  
Information Search ◽  
Video Stream ◽  
The State ◽  
Video Content ◽  
Video Information ◽  
Detection Algorithms ◽  
Meta Information ◽  
Text Information ◽  
State Registration ◽  
State Defense

. The widespread development of video technologies in cooperation with social networks such as YouTube and TicToc has led to a sharp increase in the volume of information. The processing and analysis of this data fall on the shoulders of a person. It happens as especially difficult to extract useful text information from the entire video stream. That issue is particularly acute in areas such as the state defense and law enforcement, where the volume of incoming video information is huge. A video stream can contain useful meta information helpful to search, classify, and link the data to specific video content. There are already systems for automatic recognition of the state registration plates, vehicles, railway car numbers, street names, and video titles. However, there may still be a lot of metainformation in the frames of the video stream, such as the marking of various objects and technical products, building numbers, ads, signs, inscriptions, text on documents, and much more. Creating a system for automatic detection of any text in video content will significantly improve the processing and increase the efficiency of information search engines. This article provides an overview of methods for detecting text regions in frames of the video stream. The methods are analyzed in terms of applicability and universality. A comparative analysis and evaluation of popular methods for detecting text areas are given.

Thinking Like a Teacher Enhances Memory for Text Information

2012 ◽  
Author(s):  
John F. Nestojko ◽  
Dung C. Bui ◽  
Henry L. Roediger ◽  
Sandra Hale
Keyword(s):  
Memory For Text ◽  
Text Information

PERCUTANEOUS CHOLANGIOSCOPY AN INSTRUCTIONAL VIDEO

2020 ◽  
Author(s):  
TE Menabawey ◽  
C Parisinos ◽  
H Martin ◽  
G Webster
Keyword(s):  
Instructional Video

Amazons Kampf um das Wohnzimmer

2016 ◽  
Vol 13 (3) ◽  
pp. 37-39
Author(s):  
Ralf Kaumanns
Keyword(s):  
Streaming Media ◽  
Video On Demand ◽  
Video Content ◽  
On Demand

Der Kampf um das Wohnzimmer ist voll entbrannt. Eine Reihe von Anbietern versuchen Streaming Media-Dienste im deutschen Markt zu etablieren. Amazon hat sich mit seiner Strategie eine marktführende Rolle erarbeiten können. Laut einer Analyse von Goldmedia¹ besitzt Amazon mittlerweile einen Anteil im Video-On-Demand-Markt von 38,9%, deutlich vor Wettbewerbern wie Apple, Maxdome, Google oder Netflix. Der Erfolg kommt nicht von ungefähr. Der Grund liegt vor allem in einer umfassenden Strategie rund um das Thema Bewegtbild und Video Content. Im Kampf um das Wohnzimmer haben selbst große und finanzkräftige Wettbewerber einen schweren Stand, um mit umfassend gebündelten Angeboten Schritt zu halten.

Detecting “DeepFakes” in H.264 Video Data Using Compression Ghost Artifacts

2020 ◽  
Vol 2020 (4) ◽  
pp. 116-1-116-7
Author(s):  
Raphael Antonius Frick ◽  
Sascha Zmudzinski ◽  
Martin Steinebach
Keyword(s):  
Image Forensics ◽  
Video Data ◽  
Experimental Results ◽  
Video Sequences ◽  
The Internet ◽  
Video Content ◽  
High Quality ◽  
The Public

In recent years, the number of forged videos circulating on the Internet has immensely increased. Software and services to create such forgeries have become more and more accessible to the public. In this regard, the risk of malicious use of forged videos has risen. This work proposes an approach based on the Ghost effect knwon from image forensics for detecting forgeries in videos that can replace faces in video sequences or change the mimic of a face. The experimental results show that the proposed approach is able to identify forgery in high-quality encoded video content.

The screen performance as an instrument of propaganda (on the example of Ivan Kavaleridze’s film «Koliivshchyna», 1933)

2019 ◽  
Vol 25242644 ◽  
pp. 63-68
Author(s):  
Alina Lisnevska
Keyword(s):  
Video Content ◽  
The Public ◽  
Screen Media ◽  
Social Settings ◽  
Soviet Ideology ◽  
The One ◽  
Historical Truth ◽  
Screen Performance ◽  
Personalized Video ◽  
Remote Past

The myth-making processes in the communicative space are the «cornerstone» of ideology at all times of mankind’s existence. One of the tools of the effective impact of propaganda is trust in information. Today this come round due to the dissemination of information on personalized video content in social networks, including through converged media. New myths and social settings are creating, fate of the countries is being solved, public opinion is being formed. It became possible to create artificially a model of social installation using the myths (the smallest indivisible element of the myth) based on real facts, but with the addition of «necessary» information. In the 20–30 years of the XX century cinematograph became the most powerful screen media. The article deals with the main ideological messages of the Ukrainian Soviet film «Koliivshchyna» (1933). In the period of mass cinematography spread in the Soviet Ukraine, the tape was aimed at a grand mission – creation of a new mythology through the interpretation of the true events and a con on the public, propaganda of the Soviet ideology. This happened in the tragic period of Ukrainian history (1933, the Holodomor) through the extrapolation of historical truth and its embodiment in the most formative form at that time – the form of the screen performance. The Soviet authorities used the powerful influence of the screen image to propagate dreams, illusions, images, stereotypes that had lost any reference to reality. I. Kavaleridze’s film «Koliivshchyna» demonstrates the interpretation of historical events and national ideas, the interpretation of a relatively remote past through the ideology of the «Soviet-era». The movie is created as a part of the political conjuncture of the early 1930s: the struggle against Ukrainian «bourgeois nationalism» and against the «Union of Liberation Ukraine», the repressive policies against the peasants, the close-out of the «back to the roots» policy. The movie, on the one hand, definitely addresses to the Ukrainian ideas, on the other hand it was made at the period of the repressions against the Ukrainian peasantry. In the movie «Koliivshchyna», despite the censorship, I. Kavaleridze manages to create a national inclusive narrative that depicts Ukrainian space as multi-ethnic and diverse, but at the same time nationally colorful.

Sign in / Sign up

Export Citation Format

Share Document