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Boosting web video categorization with contextual information from social web

Xiao Wu, Chong-Wah Ngo, Yi-Ming Zhu, Qiang Peng
2011 World wide web (Bussum)  
In this paper, we explore web video categorization from a new perspective, by integrating the model-based and data-driven approaches to boost the performance.  ...  Web video categorization is a fundamental task for web video search.  ...  In this paper, the main contribution is the novel idea of boosting web video categorization with contextual information from social web. The boosting mainly comes from two aspects.  ... 
doi:10.1007/s11280-011-0129-1 fatcat:b754uyfdkrezvmjtnjo2uextra

Guest editorial: content, concept and context mining in social media

Heng Tao Shen, Xian-Sheng Hua, Jiebo Luo, Vincent Oria
2011 World wide web (Bussum)  
Web Video Categorization with Contextual Information from Social Web", explores Web video categorization from a new perspective, by integrating the model-based and data-driven approaches to boost the  ...  The boosting comes from query expansion and integration of semantics, relevance and contextual information on social videos.  ... 
doi:10.1007/s11280-011-0142-4 fatcat:lzq4xr5lwzecjdtikt3kbc7sjm

Genre Specific Classification for Information Search and Multimodal Semantic Indexing for Data Retrieval

S. Gomathy, K.P. Deepa, T. Revathi, L. Maria Michael Visuwasam
2013 The SIJ Transactions on Computer Science Engineering & its Applications (CSEA)  
Now-a-days, searching a video content from a large scale video set is difficult because the volume of video increases rapidly that too with the lack of proper tools to handle.  ...  Our system describes architecture for a new video searching mechanism that not only accepts text based inputs but also accepts image based input from the user to retrieve the video results.  ...  By integrating the contextual and social information to effectively categorize web videos, semantic meaning, video relevance, and user interest respectively are fused together to obtain the probability  ... 
doi:10.9756/sijcsea/v1i1/01010159 fatcat:56gib7vgzzcvnins26rovciytm

Identifying machine learning techniques for classification of target advertising

Jin-A Choi, Kiho Lim
2020 ICT Express  
The regression integrates click feedback and semantic information available from both advertisements and web pages to determine relevancy.  ...  The proposed scheme utilizes MIL (Multiple Instant Learning)-Boost to address different problems in contextual advertising.  ... 
doi:10.1016/j.icte.2020.04.012 fatcat:5qnbssw625chhfeeqkwzkgcjxm

An in-depth evaluation of multimodal video genre categorization

Ionut Mironica, Bogdan Ionescu, Peter Knees, Patrick Lambert
2013 2013 11th International Workshop on Content-Based Multimedia Indexing (CBMI)  
We discuss the perspective of designing appropriate late fusion techniques that would enable to attain very high categorization accuracy, close to the one achieved with user-based text information.  ...  footage) and 26 video genre categories specific to web media.  ...  It combines contextual and social information, such as metadata, user behavior, viewer's behavior and video relevance.  ... 
doi:10.1109/cbmi.2013.6576545 dblp:conf/cbmi/MironicaIKL13 fatcat:q2xee55uzvhlxpzvlwjvwe3obu

Review of Semantic Importance and Role of using Ontologies in Web Information Retrieval Techniques

Ashraf Ali
2022 International Journal of Computer and Information Technology(2279-0764)  
Obtaining critical relevant data from such vast data with its diverse nature has been a monotonous and challenging task.  ...  The nature of the Web is multilingual and growing very fast with its diverse nature of data including unstructured or semi-structured data such as Websites, texts, journals, and files.  ...  With the increasing use of social media networks such as Facebook and Twitter, the collection rate of data sets such as images, electronica, and video files has multiplied.  ... 
doi:10.24203/ijcit.v11i1.240 fatcat:rztry6yskvcm5pi6ktcwhmci7e

Page 837 of Behavior Research Methods Vol. 40, Issue 3 [page]

2008 Behavior Research Methods  
were compared with overhead displays, in both the animacy and the video display conditions.  ...  It was also found that the context and occlusion cues added to increase visual information did not provide an overall boost to perceiving the correct intention.  ... 

Semantic-Based Video Retrieval Survey

Shaimaa Toriah Mohamed Toriah, Atef Zaki Ghalwash, Aliaa A. A. Youssif
2018 Journal of Computer and Communications  
In this paper, the different approaches of video retrieval are outlined and briefly categorized.  ...  Digital data include image, text, and video. Video represents a rich source of information. Thus, there is an urgent need to retrieve, organize, and automate videos.  ...  A video retrieval is a branched field from the generalized one called information retrieval.  ... 
doi:10.4236/jcc.2018.68003 fatcat:qfep2py7ufhwxea7vazpujltja

Predicting the E-Commerce Companies Stock with the Aid of Web Advertising via Search Engine and Social Media

Nalabala Deepika, Mundukur Nirupama Bhat
2020 Revue d'intelligence artificielle : Revue des Sciences et Technologies de l'Information  
All advertisers give advertises in form of text, picture, and video, audio and by mixing them with the aid of professional ad-makers.  ...  This paper focus on attaining stock predictions from different sources and also discuss about gathering text analysis for the required stock from digital media like search engines, video channels, news  ...  . ➢ Information extraction: In this phase, the information is gathered from multiple sources i.e. stock data from NSE India website, feeds from social media, YouTube as in Figure 2 . ➢ Processing: In  ... 
doi:10.18280/ria.340112 fatcat:q2tgtuic6vbdjeps26i5gzu56e

Joint Modelling of Cyber Activities and Physical Context to Improve Prediction of Visitor Behaviors

Manpreet Aneja Kaur, Flora Dilys Salim, Yongli Ren, Jeffrey Chan, Martin Tomko, Mark Sanderson
2020 ACM transactions on sensor networks  
To find this correlation, we propose a mechanism to semantically label a physical space with rich categorical information from DBPedia concepts and compute a contextual similarity that represents a user's  ...  activities with the mall context.  ...  Context information from a user's web query logs can be used to predict future locations.  ... 
doi:10.1145/3393692 fatcat:3nka56skpffcjcpjnczcizlgqi

Detecting Offensive Tweets in Hindi-English Code-Switched Language

Puneet Mathur, Rajiv Shah, Ramit Sawhney, Debanjan Mahata
2018 Proceedings of the Sixth International Workshop on Natural Language Processing for Social Media  
The exponential rise of social media websites like Twitter, Facebook and Reddit in linguistically diverse geographical regions has led to hybridization of popular native languages with English in an effort  ...  The paper focuses on the classification of offensive tweets written in Hinglish language, which is a portmanteau of the Indic language Hindi with the Roman script.  ...  From chirps to whistles: discovering event-specific informative content from twitter. In Proceedings of the ACM web science conference, page 17. ACM.  ... 
doi:10.18653/v1/w18-3504 dblp:conf/acl-socialnlp/MathurSSM18 fatcat:jflht7hdprevxk57mobylfvpuu

Effectiveness and User Acceptance of Online Chronic Disease Management Interventions in Rural and Remote Settings: Systematic Review and Narrative Synthesis

Craig Sinclair
2015 Clinical Medicine Insights: Therapeutics  
A total of 13 studies met the inclusion criteria; these were categorized into web-based self-management interventions (N = 3), interactive online groups (N = 6), and providermediated online interventions  ...  User acceptance among rural patients with chronic disease was related to time demands, Internet access, and confidence with technology, but overall satisfactory retention rates show promise for further  ...  Simon Lewis from the University of Western Australia Library for assistance in retrieving a number of articles relevant to this review and Dr Andrew Knight for helpful comments on a draft version of this  ... 
doi:10.4137/cmt.s18553 fatcat:cz52yisafvcrxg5lzywjykufpi

Content characteristics of IPTV: analysis of sensationalism, localism, and interactivity

Trisha T.C. Lin, Shuhua Zhou, Di Cui
2014 Asian Journal of Communication  
We categorized videos from "Singapore Now" and "Point Blank" as news (n=78) and videos from "Razor Pop" and "R. Age" as entertainment (n=70).  ...  made media for Internet distribution, specifically videos with interactive and social media features.  ... 
doi:10.1080/01292986.2014.927893 fatcat:gmntsmzcdvfrnhsyu4ijggylqq

Representation models for text classification

George Giannakopoulos, Petra Mavridi, Georgios Paliouras, George Papadakis, Konstantinos Tserpes
2012 Proceedings of the 2nd International Conference on Web Intelligence, Mining and Semantics - WIMS '12  
Accuracy is increased due to the contextual information that is encapsulated in the edges of the n-gram graphs; efficiency, on the other hand, is boosted by reducing the feature space to a limited set  ...  Text classification constitutes a popular task in Web research with various applications that range from spam filtering to sentiment analysis.  ...  We categorize Web documents into three main types on the basis of their endogenous information.  ... 
doi:10.1145/2254129.2254148 dblp:conf/wims/GiannakopoulosMPPT12 fatcat:u4igklrzabelroardrqoxtldcy

Social networks and information retrieval, how are they converging? A survey, a taxonomy and an analysis of social information retrieval approaches and platforms

Mohamed Reda Bouadjenek, Hakim Hacid, Mokrane Bouzeghoub
2016 Information Systems  
This is mainly done by enhancing the IR process with information coming from social networks, a process called Social Information Retrieval (SIR).  ...  The main question one might ask is What would be the benefits of using social information (no matter whether it is content or structure) into the information retrieval process and how is this currently  ...  Introduction With the emergence of the social Web, the Web has evolved from a static Web, where users were only able to consume information, to a Web where users are also able to produce information.  ... 
doi:10.1016/ fatcat:letbaw4pwbbvvbyvumjirlwjdq
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