Image-mining: exploring the impact of video content on the success of crowdfunding

Author(s):  
Zecong Ma ◽  
Sergio Palacios
2020 ◽  
Vol 2020 (10) ◽  
pp. 136-1-136-7
Author(s):  
Daniel J Ringis ◽  
François Pitié ◽  
Anil Kokaram

The majority of internet traffic is video content. This drives the demand for video compression in order to deliver high quality video at low target bitrates. This paper investigates the impact of adjusting the rate distortion equation on compression performance. An constant of proportionality, k, is used to modify the Lagrange multiplier used in H.265 (HEVC). Direct optimisation methods are deployed to maximise BD-Rate improvement for a particular clip. This leads to up to 21% BD-Rate improvement for an individual clip. Furthermore we use a more realistic corpus of material provided by YouTube. The results show that direct optimisation using BD-rate as the objective function can lead to further gains in bitrate savings that are not available with previous approaches.


First Monday ◽  
2015 ◽  
Author(s):  
Tatiana Pontes ◽  
Elizeu Santos-Neto ◽  
Jussara Almeida ◽  
Matei Ripeanu

Multimedia content is central to our experience on the Web. Specifically, users frequently search and watch videos online. The textual features that accompany such content (e.g., title, description, and tags) can generally be optimized to attract more search traffic and ultimately to increase the advertisement-generated revenue.This study investigates whether automating tag selection for online video content with the goal of increasing viewership is feasible. In summary, it shows that content producers can lower their operational costs for tag selection using a hybrid approach that combines dedicated personnel (often known as ‘channel managers’), crowdsourcing, and automatic tag suggestions. More concretely, this work provides the following insights: first, it offers evidence that existing tags for a sample of YouTube videos can be improved; second, this study shows that an automated tag recommendation process can be efficient in practice; and, finally it explores the impact of using information mined from various data sources associated with content items on the quality of the resulting tags.


2021 ◽  
pp. 1-33
Author(s):  
Sixin Liao ◽  
Lili Yu ◽  
Jan-Louis Kruger ◽  
Erik D. Reichle

Abstract This study investigated how semantically relevant auditory information might affect the reading of subtitles, and if such effects might be modulated by the concurrent video content. Thirty-four native Chinese speakers with English as their second language watched video with English subtitles in six conditions defined by manipulating the nature of the audio (Chinese/L1 audio vs. English/L2 audio vs. no audio) and the presence versus absence of video content. Global eye-movement analyses showed that participants tended to rely less on subtitles with Chinese or English audio than without audio, and the effects of audio were more pronounced in the presence of video presentation. Lexical processing of subtitles was not modulated by the audio. However, Chinese audio, which presumably obviated the need to read the subtitles, resulted in more superficial post-lexical processing of the subtitles relative to either the English or no audio. On the contrary, English audio accentuated post-lexical processing of the subtitles compared with Chinese audio or no audio, indicating that participants might use English audio to support subtitle reading (or vice versa) and thus engaged in deeper processing of the subtitles. These findings suggest that, in multimodal reading situations, eye movements are not only controlled by processing difficulties associated with properties of words (e.g., their frequency and length) but also guided by metacognitive strategies involved in monitoring comprehension and its online modulation by different information sources.


2021 ◽  
pp. 016344372110453
Author(s):  
Wang Changsong ◽  
Lucyann Kerry ◽  
Rustono Farady Marta

The pandemic of COVID-19, which forced cinema theaters to close and left exhibitors without revenue over a long period, may have dramatically changed the film business and its future. This paper seeks to examine the changing dynamic of film distribution through video streaming in the Southeast Asia region as a result of the impact of the pandemic. Some films may be chosen for video streaming media platforms as their alternative option for release into theatrical distribution. This pandemic also has changed film-viewing habits and behaviors among audiences. Several news reports have substantiated that Southeast Asian viewers are streaming more online video content due to COVID-19. As a result of the pandemic it appears that there is an accelerated shift to streaming media platforms across Southeast Asia countries. Local streaming platforms feed users their unique and culturally distinctive locally produced content which could be distinguished from that offered by global players. In 2020, some new streaming media platforms were launched for distributing film content to their targeted markets locally and internationally. Through the use of a review of trade and business press as well as interview, this paper attempts to identify and present areas of regional change and regional players which deserve systematic discussion and analysis.


2018 ◽  
Vol 47 (3) ◽  
pp. 359-372
Author(s):  
Yabo Zhang ◽  
Aiping Qian ◽  
Zhongling Pi ◽  
Jiumin Yang

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.


2021 ◽  
Vol ahead-of-print (ahead-of-print) ◽  
Author(s):  
Dawn Surgenor ◽  
Christopher McLaughlin ◽  
Una McMahon-Beattie ◽  
Amy Burns

PurposeThe aim of this research is to examine the impact of video-based learning on the cooking skills development of students. More specifically, exploring the first stages in the learning process through embedding declarative knowledge utilising both video content and learner profiles, with the purpose to make teaching practice more effectively and efficiently targeted.Design/methodology/approachA quantitative social experimental approach was employed. The sample consisted of 414 students from three post primary schools in Northern Ireland. Students were randomly allocated into both control and experimental video content groups. All participants were made aware of ethical procedures and the nature of the study.FindingsThrough the application of latent class analysis (LCA), three distinct types of students were classified. Class one (n = 250) students were termed independent learners, class two (n = 88) students were motivated and benefited from video-based learning and class three (n = 52) students demonstrated an inability to apply information because video did not assist in embedding declarative knowledge.Research limitations/implicationsImplications from this research inform content generation for video-based cooking skills.Practical implicationsGiven the unprecedented move towards online teaching in 2020 due to coronavirus disease 2019 (COVID-19) restrictions, there is increasing interest in targeting resources effectively to meet the requirements of all learning groups. This paper fulfils an identified need to study how video impacts on skills development and learning within specific learning typologies.Originality/valueThis research will be of interest to educationalists in promoting a cost-effective resource in line with constructivist values to streamline and meet the needs of individual learners.


Sign in / Sign up

Export Citation Format

Share Document