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Automatic Understanding of Image and Video Advertisements

Zaeem Hussain, Mingda Zhang, Xiaozhong Zhang, Keren Ye, Christopher Thomas, Zuha Agha, Nathan Ong, Adriana Kovashka
2017 2017 IEEE Conference on Computer Vision and Pattern Recognition (CVPR)  
We propose the novel problem of automatic advertisement understanding.  ...  To enable research on this problem, we create two datasets: an image dataset of 64,832 image ads, and a video dataset of 3,477 ads.  ...  Any opinions, findings, and conclusions or recommendations expressed in this material are those of the author(s) and do not necessarily reflect the views of the National Science Foundation.  ... 
doi:10.1109/cvpr.2017.123 dblp:conf/cvpr/HussainZZYTAOK17 fatcat:lpdwh7s755dnrol5hzbnwk7sfu

Automatic Understanding of Image and Video Advertisements [article]

Zaeem Hussain, Mingda Zhang, Xiaozhong Zhang, Keren Ye, Christopher Thomas, Zuha Agha, Nathan Ong, Adriana Kovashka
2017 arXiv   pre-print
We propose the novel problem of automatic advertisement understanding.  ...  To enable research on this problem, we create two datasets: an image dataset of 64,832 image ads, and a video dataset of 3,477 ads.  ...  Any opinions, findings, and conclusions or recommendations expressed in this material are those of the author(s) and do not necessarily reflect the views of the National Science Foundation.  ... 
arXiv:1707.03067v1 fatcat:eekhvqmj4baxnpurlt3mhbonbq

Analysis of Commercial Film Production in the Age of Artificial Intelligence -Focusing on Alibaba Wood case-

Yan Li, Takhoon Kim
2019 Journal of Next-generation Convergence Information Services Technology  
Because of its ideal communication effect, video-film advertising has been favored by most enterprises [1] .  ...  Image is one of the most important advertising media. Thanks to the development of the Internet, technology has opened up a new medium for human life.  ...  In addition, it's able to analyze complex information and present it visually, and understand the style of merchandise and automatically match the copyright music, provide a large number of video templates  ... 
doi:10.29056/jncist.2019.12.08 fatcat:5aqf2on4orgwdfq2z6hxx4qmli

Interactive service recommendation based on ad concept hierarchy

Bo Wang, Jinqiao Wang, Ling-Yu Duan, Qi Tian, Hanqing Lu
2010 Proceedings of the Second International Conference on Internet Multimedia Computing and Service - ICIMCS '10  
The rapid popularization of various online media services have attracted large amounts of consumers and shown us a large potential market of video advertising.  ...  Given an ad video, we will try to semantically analyze it and conduct a contextual search from two aspects: video content and tags.  ...  In section 4, we will show the details for video analysis and visual image search for video content understanding.  ... 
doi:10.1145/1937728.1937749 dblp:conf/icimcs/WangWDTL10 fatcat:ggchsxacojemlbaku4z4swtp44

The CASE Dataset of Candidate Spaces for Advert Implantation [article]

Soumyabrata Dev, Murhaf Hossari, Matthew Nicholson, Killian McCabe, Atul Nautiyal, Clare Conran, Jian Tang, Wei Xu, François Pitié
2019 arXiv   pre-print
With the advent of faster internet services and growth of multimedia content, we observe a massive growth in the number of online videos.  ...  The users generate these video contents at an unprecedented rate, owing to the use of smart-phones and other hand-held video capturing devices.  ...  Acknowledgement The authors would like to acknowledge the contribution of the various paid volunteers, who assisted in the creation of high-quality candidate maps in this dataset.  ... 
arXiv:1903.08943v2 fatcat:lpxokkw7u5cbvl45j3umbggx54

ADNet: A Deep Network for Detecting Adverts [article]

Murhaf Hossari, Soumyabrata Dev, Matthew Nicholson, Killian McCabe, Atul Nautiyal, Clare Conran, Jian Tang, Wei Xu, François Pitié
2018 arXiv   pre-print
Our approach is the first of its kind that automatically detects the presence of adverts in a video frame, and achieves state-of-the-art results on a public dataset.  ...  In this paper, we propose a deep-learning architecture called ADNet, that automatically detects the presence of advertisements in video frames.  ...  Acknowledgement The ADAPT Centre for Digital Content Technology is funded under the SFI Research Centres Programme (Grant 13/RC/2106) and is co-funded under the European Regional Development Fund.  ... 
arXiv:1811.04115v1 fatcat:pzy33hgg6vh2ffffjsb25pf2ya

Text Data Analysis for Advertisement Recommendation System Using Multi-label Classification of Machine Learning

Rushikesh Chandrakant Konapure, Dr. L.M.R.J. Lobo
2020 Zenodo  
Nowadays, people are making their content and uploading it on the streaming platforms so the size of the video dataset became massive compared to text, audio and image datasets.  ...  Analyzing produced labels concerning advertisement datasets we intend to provide advertisements on the video related to the topic of the video.  ...  of text and image data.  ... 
doi:10.5281/zenodo.3600112 fatcat:4zjk42oiufhzndek4rzqia37ru

Advertisement and Document Recommendation based on Content in the Image

Meenakshi Chandak, A. S.
2018 International Journal of Computer Applications  
From the experimental results, it is seen that system could recognize over 90 percent of objects and could recommend relevant advertisement with mean average precision of 0.66.  ...  In recent years, more and more images have been uploaded and published on the web.  ...  The main components of this platform include an advertisement editorial tool, ROI detection, image content understanding, and image matching modules.  ... 
doi:10.5120/ijca2018917968 fatcat:w7ltppn4uvc2xc2spl4vxiztg4

Contextual Internet Multimedia Advertising

Tao Mei, Xian-Sheng Hua
2010 Proceedings of the IEEE  
We show recently developed MediaSense which consists of image, video, and game advertising as an exemplary application of contextual multimedia advertising.  ...  In this paper, we summarize the trend of Internet multimedia advertising and conduct a broad survey on the methodologies for advertising which are driven by the rich contents of images and videos.  ...  Beyond the traditional media of Web pages, images and videos can be powerful and effective carriers of online advertising.  ... 
doi:10.1109/jproc.2009.2039841 fatcat:n2yp2lmv2fdutcw32agbahwnu4

Identifying Candidate Spaces for Advert Implantation [article]

Soumyabrata Dev, Hossein Javidnia, Murhaf Hossari, Matthew Nicholson, Killian McCabe, Atul Nautiyal, Clare Conran, Jian Tang, Wei Xu, and François Pitié
2019 arXiv   pre-print
Virtual advertising is an important and promising feature in the area of online advertising.  ...  It involves integrating adverts onto live or recorded videos for product placements and targeted advertisements.  ...  CONCLUSION AND FUTURE WORK In this paper, we presented our method of detecting candidate spaces in image-and video-frames for advertisement placements.  ... 
arXiv:1910.03227v1 fatcat:c5mtbjzzrregpfnxosriamgbda

Survey: Deep Learning for Video Aesthetics

Manish Bendale
2019 International Journal for Research in Applied Science and Engineering Technology  
The earlier research was based on the Handcrafted features to assess the aesthetics of videos and images.  ...  Aesthetics is defined by the properties of arts and beauty. In our day to day lives with the increase of multimedia requirements the aesthetic sense of images and videos has gained much importance.  ...  Saliency detection method is useful to understand the salient object [38] from an images and videos.  ... 
doi:10.22214/ijraset.2019.2021 fatcat:yyxhlh6jcnaiba3k233etf42ly

Enhancing the Presentation of Multimedia using Extracted Semantics (Invited Keynote)

Hyowon Lee
2006 International Semantic Web Conference  
for Video -Synergy between automatic & manual indexing -Fusion of multi-modal query results My Role: Usability & User Issues • Understand the research & development of Image/Video indexing/retrieval tools  ...  for video processing Físchlár-TRECVid2004: Combined Text-and Image-Based Searching of Video Archives.  ...  Linear list images and text Images overlayed with text  ... 
dblp:conf/semweb/Lee06 fatcat:q77zuvu4g5acdleba6p2nvoeky

A Multimodal Framework for Video Ads Understanding [article]

Zejia Weng, Lingchen Meng, Rui Wang, Zuxuan Wu, Yu-Gang Jiang
2021 arXiv   pre-print
There is a growing trend in placing video advertisements on social platforms for online marketing, which demands automatic approaches to understand the contents of advertisements effectively.  ...  Taking the 2021 TAAC competition as an opportunity, we developed a multimodal system to improve the ability of structured analysis of advertising video content.  ...  With the rapid development of the 5G field, the number of video advertisements has also increased rapidly, and thus it is critical to understand the structures of video ads automatically and effectively  ... 
arXiv:2108.12868v1 fatcat:2632kdpoozb67j7ql4kbdkce2m

Prediction of preferred Advertising Formats in e-Advertisements by using Data Mining Techniques

Shilpi S., B.K. Sharma
2016 International Journal of Applied Information Systems  
The use of IT applications and data mining softwares are providing e-advertisement related information specifically product analysis, product promotion, demand forecasting, trends analysis and new product  ...  e-Advertisements are extraordinarily cost effective due to targeted and focused marketing, nominal wastage, increasing customer-base and unmatched tracking capabilities.  ...  , information retrieval, neural network, signal and image processing and spatial data analysis.  ... 
doi:10.5120/ijais2016451520 fatcat:rv4tcpqgtjehtelo5zklen5smi

Analysis and Importance of Deep Learning for Video Aesthetic Assessments

Manish Bendale, Madhura V. Phatak, Nitin N. Pise
2019 International Journal of Scientific Research in Computer Science Engineering and Information Technology  
This paper principally emphasizes deep learning on basics of automatic video aesthetic assessments.  ...  Videos have specific characteristics that make their method unique. Visual aesthetic typically: Remember what they see, understand and learn rather than what they hear.  ...  Here deep learning provides the automatic aesthetic assessment for videos and images [10] . in agreement like "Value".  ... 
doi:10.32628/cseit1951100 fatcat:otq2ucutdfgk3hiigsb3ffszzy
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