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Content-Based Video Search over 1 Million Videos with 1 Core in 1 Second
2015
Proceedings of the 5th ACM on International Conference on Multimedia Retrieval - ICMR '15
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We further performed search over 1 million videos and demonstrated that our system can complete the search in 0.975 seconds with a single core, which potentially opens the door to interactive web-scale ...
Many content-based video search (CBVS) systems have been proposed to analyze the rapidly-increasing amount of user-generated videos on the Internet. ...
In sum, the contributions of our paper are as follows. 1. A CBVS system which can search over 1 million videos with only 1 core in about 1 second is proposed. ...
doi:10.1145/2671188.2749398
dblp:conf/mir/YuJXYH15
fatcat:p2ios43a75anjjkuswkrrfuk44
A large-scale audio and video fingerprints-generated database of TV repeated contents
2014
2014 12th International Workshop on Content-Based Multimedia Indexing (CBMI)
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Using specifically-designed lightweight audio and video fingerprints, we were able to detect repeated contents over a quasi-uninterrupted recording of 10+ TV channels, over more than 4 years, starting ...
The results are stored into a database that holds more than 20 million detected repeats. Detections range from a few seconds up to one hour. The database can be explored using a standard web browser. ...
ACKNOWLEDGEMENTS The authors wish to thank Rakia Jaziri, Elisabeth Chapalain, Marc Tarin, Paul Tomi, for their participation in the project, and Frédéric Dumas and Florent Lioret for their useful assistance ...
doi:10.1109/cbmi.2014.6849818
dblp:conf/cbmi/ChenotD14
fatcat:uqroh7itlrc35piqqoqr4jilua
Videos, Views, and Vaccines: Evaluating the Quality of COVID-19 Communications on YouTube
2021
Disaster Medicine and Public Health Preparedness
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Closed captioning data was searched for the term "vaccine," yielding 32 videos. ...
This analysis graded the accuracy, quality, and reliability of the most viewed YouTube videos depicting COVID-19 and vaccinations over a six-month period. ...
(1) Yes (2) No Are areas of uncertainty mentioned? (1) Yes (2) No million views. ...
doi:10.1017/dmp.2021.284
pmid:34462047
pmcid:PMC8529354
fatcat:lxg3zllnmbddnnjydxw4pzcksm
Robust Homomorphic Video Hashing
[article]
2020
arXiv
pre-print
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Hence, it can help preserve privacy and combat cybercrimes such as revenge porn, hateful content, child abuse, or illegal material propagated in a video. ...
Thus, it can serve as a potential forensic tool that can trace the illegal sharing of videos without knowing the underlying content. ...
The design of a fast and efficient content-based search for videos is very challenging compared to images. ...
arXiv:2009.01887v1
fatcat:5zmoqo6pgfdulnq2cuzgf5pyzu
Fast and Accurate Content-based Semantic Search in 100M Internet Videos
2015
Proceedings of the 23rd ACM international conference on Multimedia - MM '15
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It only takes 0.2 second on a single CPU core to search a collection of 100 million Internet videos. ...
Large-scale content-based semantic search in video is an interesting and fundamental problem in multimedia analysis and retrieval. ...
It only takes 0.2 seconds on a single CPU core to search a collection of 100 million Internet videos. ...
doi:10.1145/2733373.2806237
dblp:conf/mm/JiangYMYMH15
fatcat:dmrtyjafcvaipc5l2htb3dfm3u
Bio-imaging Toolkit for Indexing, Searching, Navigation, Discovery and Annotation
[chapter]
2008
Lecture Notes in Computer Science
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This paper discusses both metadata-based and content-based representation, indexing, querying, navigation, discovery, and retrieval, as well as video segmentation and image/video annotations. ...
Bio-imaging toolkit is an application for biological imaging community that will bring in the latest efforts in indexing, searching, navigation, discovery, analysis and annotation for both biological image ...
Content Based Searching Content based searching is a term used for describing the searching based on the visual information present in the image or video such as shape, texture, color and event. ...
doi:10.1007/978-3-540-89646-3_91
fatcat:q2hgiqzcrve6vjugdbpdqmrk54
Learning Compact Spatio-Temporal Features for Fast Content based Video Retrieval
2019
VOLUME-8 ISSUE-10, AUGUST 2019, REGULAR ISSUE
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This makes extremely difficult to retrieve similar videos based on this metadata without using content based semantic search. ...
In this paper we propose a fast content based video retrieval framework using compact spatio-temporal features learned by deep learning. ...
'Content-based' means that search is done by analyzing the visual content rather than metadata (like tags or description) associated with it. ...
doi:10.35940/ijitee.b7847.129219
fatcat:36mq4rbyv5h6zal2jswieedd2q
Real-time query-by-image video search system
2014
Proceedings of the ACM International Conference on Multimedia - MM '14
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We demonstrate a novel multimedia system that continuously indexes videos and enables real-time search using images, with a broad range of potential applications. ...
Users can query an uploaded image or an image in the web. When a result is served, the user can play the video clip from the beginning or from the point in time where the retrieved image was found. ...
INTRODUCTION Despite the widespread adoption of visual search systems in recent years, a large body of visual content, in the form of videos, cannot be searched using a query image with today's commercial ...
doi:10.1145/2647868.2654867
dblp:conf/mm/AraujoCVG14
fatcat:xo4iqhv5hjenfjppkmqeug5z5m
Video ChatBot
2016
Proceedings of the 2016 ACM on Multimedia Conference - MM '16
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Then, the comments associated with the searched similar videos are ranked by learning a deep multi-view embedding space for modeling video content, visual sentiment and textual comments. ...
The demonstration is conducted on a newly collected dataset with over 102K videos and 10.6M comments. Moreover, our video chatbot has great potential to increase live social interactions. ...
Following [1] , a LSTM-based model is learnt over all the videocomment pairs in training set. ...
doi:10.1145/2964284.2973835
dblp:conf/mm/LiYHMR16
fatcat:3mriisdsrnfn3ideqne5h3n6he
Share-and-Chat
2016
Proceedings of the 2016 ACM on Multimedia Conference - MM '16
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while the second dynamic ranking effectively ranks the comments associated with the searched similar videos by learning a deep multiview embedding space. ...
The first component, similar video search, efficiently finds the visually similar videos w.r.t. a given video using approximate nearest-neighbor search based on the learned deep video representations, ...
Following [8] , an end-to-end LSTM based model is learnt over all the video-comment pairs in training set. ...
doi:10.1145/2964284.2964320
dblp:conf/mm/LiYMCR16
fatcat:vuukgjtntvcl5fzwlm5txkg7ha
Structure and Network in the YouTube Core
2008
Proceedings of the 41st Annual Hawaii International Conference on System Sciences (HICSS 2008)
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Furthermore, there is a socially cohesive core of producers of mixed content, with smaller cohesive groups around Korean music video and anime music videos. ...
These results are explained in terms of the relationship of video producers to the tagging of uploaded content on the site. ...
The social structuring of the YouTube video authors and their relation to different types of content is clearly rich enough to merit much further attention. ...
doi:10.1109/hicss.2008.415
dblp:conf/hicss/Paolillo08
fatcat:ohd6bz2a2vhgjo62oyqkn664xe
The Role of Twitter in YouTube Videos Diffusion
[chapter]
2012
Lecture Notes in Computer Science
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Given the large amount of available videos, it is often difficult for users to discover interesting content. ...
Using a real data set we have recently collected, our analysis highlights several important aspects of social cascading, including its impact on YouTube videos popularity, dependence on users with a large ...
This work is supported in part by the Startup Grant [George Pallis, 2011], funded by the University of Cyprus. ...
doi:10.1007/978-3-642-35063-4_31
fatcat:jovnlzihbzckzafncxjpmhu2gy
Informative Multimedia QA using Web based Approach
2016
International Journal of Computer Applications
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In this paper we propose a system that enriches textual answers with corresponding media data in Community QA. ...
It determines the type of medium to be used by adding Nave Bayes Classifier, which helps to generate queries based on existing QA dataset pool and performs multimedia search. ...
As per the survey in 2014, about 700 million people are using social sites. The quantity of information on web has increased over the year. ...
doi:10.5120/ijca2016905793
fatcat:oj5ja2blp5hxrme23awicu2xtu
Effect of Core Competence and Brand Personality of Short Video Websites on User Loyalty
2019
Tehnički Vjesnik
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Based on the above results, we suggest the short video website improve its core competitiveness through creating original videos, and adopting diversified content production modes, using network transmission ...
The purpose of this article is to explore the impact of core competitiveness and brand personality on user loyalty in short video industry by using questionnaire survey for Chinese short video users and ...
By 2017, Musical.ly, a wellknown short video software of music in North America, has more than 2 million daily active users worldwide, including over 6 million active users in North America. ...
doi:10.17559/tv-20191007110828
fatcat:bvfzo46iubcnladr2ygagi7o5q
Web Video Categorization based on Wikipedia Categories and Content-Duplicated Open Resources
[article]
2010
arXiv
pre-print
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In addition, the categorization model built based on both WikiCs and CDORs achieves better performance compared with the models built based on only one of them as well as state-of-the-art approach. ...
Based on these CDORs, we propose to categorize web videos in the space spanned by WikiCs rather than that spanned by raw tags. ...
Observing that web video sharing sites (e.g.,YouTube) often have a amount of content redundancy, search and mining based video annotation methods are proposed in [3] [4] [5] . ...
arXiv:1008.0757v1
fatcat:njlyr4h44bcorjb6wmtmkdn3dq
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