Direct Manipulation of 3D Virtual Objects by Actors for Recording Live Video Content

2007 ◽  
Author(s):  
Michihiko Minoh ◽  
Hideto Obara ◽  
Takuya Funtatomi ◽  
Masahiro Toyoura ◽  
Koh Kakusho
Keyword(s):  
Video Content ◽  
Direct Manipulation ◽  
Live Video ◽  
Virtual Objects

Design and Implementation of OTT Services Based on IPTV STB

2013 ◽  
Vol 411-414 ◽  
pp. 985-988
Author(s):  
Zhi Qiang Xia ◽  
Li Ming Ma ◽  
San Xing Cao
Keyword(s):  
Quality Assurance ◽  
Video Quality ◽  
Video Content ◽  
Live Video ◽  
Management Software ◽  
Design And Implementation ◽  
Set Top Box ◽  
Industry Standards ◽  
Interactive Experience

Currently, the main disadvantages of OTT services are live video delay and video quality assurance while OTT services have many interactive contents. In contrast, IPTV reception effect is better however policy restrictions, incomplete standards and lack of content are the IPTV deficiencies. Therefore, this paper proposes a method of implanting OTT services into IPTV system. The design and implementation maintain the intrinsic IPTV services and ImageMagick is used to present OTT services in IPTV set-top box (STB) according to the current IPTV industry standards. Meanwhile, the services can be designed through the management software. Finally, the OTT services based on IPTV STB can enrich IPTV video content and enhance user interactive experience.

scholarly journals Finding epic moments in live content through deep learning on collective decisions

2021 ◽  
Vol 10 (1) ◽  
Author(s):  
Hyeonho Song ◽  
Kunwoo Park ◽  
Meeyoung Cha
Keyword(s):  
Deep Learning ◽  
User Study ◽  
Data Driven ◽  
Live Streaming ◽  
Video Content ◽  
Live Video ◽  
Collective Decisions ◽  
Data Driven Approach ◽  
Streaming Services ◽  
Deep Learning Model

AbstractLive streaming services enable the audience to interact with one another and the streamer over live content. The surging popularity of live streaming platforms has created a competitive environment. To retain existing viewers and attract newcomers, streamers and fans often create a well-condensed summary of the streamed content. However, this process is manual and costly due to the length of online live streaming events. The current study identifies enjoyable moments in user-generated live video content by examining the audiences’ collective evaluation of its epicness. We characterize what features “epic” moments and present a deep learning model to extract them based on analyzing two million user-recommended clips and the associated chat conversations. The evaluation shows that our data-driven approach can identify epic moments from user-generated streamed content that cover various contexts (e.g., victory, funny, awkward, embarrassing). Our user study further demonstrates that the proposed automatic model performs comparably to expert suggestions. We discuss implications of the collective decision-driven extraction in identifying diverse epic moments in a scalable way.

Cognitive and perceptual factors that affect manipulation of virtual objects

2010 ◽  
Author(s):  
Andrew T. Stull ◽  
Mary Hegarty ◽  
Richard E. Mayer
Keyword(s):  
Virtual Objects ◽  
Perceptual Factors

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.

Sign in / Sign up

Export Citation Format

Share Document