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Related papers: An Advert Creation System for Next-Gen Publicity

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Online video advertising gives content providers the ability to deliver compelling content, reach a growing audience, and generate additional revenue from online media. Recently, advertising strategies are designed to look for original…

Over the past decade, the evolution of video-sharing platforms has attracted a significant amount of investments on contextual advertising. The common contextual advertising platforms utilize the information provided by users to integrate…

Computer Vision and Pattern Recognition · Computer Science 2020-06-29 Ivan Bacher , Hossein Javidnia , Soumyabrata Dev , Rahul Agrahari , Murhaf Hossari , Matthew Nicholson , Clare Conran , Jian Tang , Peng Song , David Corrigan , François Pitié

Online videos have witnessed an unprecedented growth over the last decade, owing to wide range of content creation. This provides the advertisement and marketing agencies plethora of opportunities for targeted advertisements. Such…

Computer Vision and Pattern Recognition · Computer Science 2019-05-07 Soumyabrata Dev , Murhaf Hossari , Matthew Nicholson , Killian McCabe , Atul Nautiyal , Clare Conran , Jian Tang , Wei Xu , François Pitié

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. Such integration of adverts is…

Computer Vision and Pattern Recognition · Computer Science 2019-10-09 Soumyabrata Dev , Hossein Javidnia , Murhaf Hossari , Matthew Nicholson , Killian McCabe , Atul Nautiyal , Clare Conran , Jian Tang , Wei Xu , François Pitié

We present DeepGen, a system deployed at web scale for automatically creating sponsored search advertisements (ads) for BingAds customers. We leverage state-of-the-art natural language generation (NLG) models to generate fluent ads from…

Computation and Language · Computer Science 2022-10-21 Konstantin Golobokov , Junyi Chai , Victor Ye Dong , Mandy Gu , Bingyu Chi , Jie Cao , Yulan Yan , Yi Liu

Online advertising is a huge, rapidly growing advertising market in today's world. One common form of online advertising is using image ads. A decision is made (often in real time) every time a user sees an ad, and the advertiser is eager…

Computer Vision and Pattern Recognition · Computer Science 2015-09-03 Michael Fire , Jonathan Schler

With the rapid growth of online video consumption, video advertising has become increasingly dominant in the digital advertising landscape. Yet diverse users and viewing contexts makes one-size-fits-all ad creatives insufficient for…

Information Retrieval · Computer Science 2026-03-03 Yiyan Xu , Ruoxuan Xia , Wuqiang Zheng , Fengbin Zhu , Wenjie Wang , Fuli Feng

This paper proposes a comprehensive framework for the generation of covert advertisements within Conversational AI systems, along with robust techniques for their detection. It explores how subtle promotional content can be crafted within…

Computation and Language · Computer Science 2025-09-19 Arka Dutta , Agrik Majumdar , Sombrata Biswas , Dipankar Das , Sivaji Bandyopadhyay

In the online advertising industry, the process of designing an ad creative (i.e., ad text and image) requires manual labor. Typically, each advertiser launches multiple creatives via online A/B tests to infer effective creatives for the…

Computation and Language · Computer Science 2020-12-03 Shaunak Mishra , Manisha Verma , Yichao Zhou , Kapil Thadani , Wei Wang

Perceptual ad-blocking is a novel approach that detects online advertisements based on their visual content. Compared to traditional filter lists, the use of perceptual signals is believed to be less prone to an arms race with web…

Cryptography and Security · Computer Science 2019-08-27 Florian Tramèr , Pascal Dupré , Gili Rusak , Giancarlo Pellegrino , Dan Boneh

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…

Computer Vision and Pattern Recognition · Computer Science 2019-04-30 Soumyabrata Dev , Murhaf Hossari , Matthew Nicholson , Killian McCabe , Atul Nautiyal , Clare Conran , Jian Tang , Wei Xu , François Pitié

The intrusiveness and the increasing invasiveness of online advertising have, in the last few years, raised serious concerns regarding user privacy and Web usability. As a reaction to these concerns, we have witnessed the emergence of a…

Computers and Society · Computer Science 2016-02-08 Javier Parra-Arnau , Jagdish Prasad Achara , Claude Castelluccia

Personalized advertisement is a crucial task for many of the online businesses and video broadcasters. Many of today's broadcasters use the same commercial for all customers, but as one can imagine different viewers have different interests…

Computer Vision and Pattern Recognition · Computer Science 2018-06-25 Shervin Minaee , Imed Bouazizi , Prakash Kolan , Hossein Najafzadeh

Video ads segmentation and tagging is a challenging task due to two main reasons: (1) the video scene structure is complex and (2) it includes multiple modalities (e.g., visual, audio, text.). While previous work focuses mostly on activity…

Computer Vision and Pattern Recognition · Computer Science 2021-08-23 Tomoyuki Suzuki , Antonio Tejero-de-Pablos

With expansion of the video advertising market, research to predict the effects of video advertising is getting more attention. Although effect prediction of image advertising has been explored a lot, prediction for video advertising is…

Computer Vision and Pattern Recognition · Computer Science 2020-12-23 Jun Ikeda , Hiroyuki Seshime , Xueting Wang , Toshihiko Yamasaki

This research presents an innovative and unique way of solving the advertisement prediction problem which is considered as a learning problem over the past several years. Online advertising is a multi-billion-dollar industry and is growing…

Information Retrieval · Computer Science 2017-02-15 Muhammad Junaid Effendi , Syed Abbas Ali

Predicting the click-through rate of an advertisement is a critical component of online advertising platforms. In sponsored search, the click-through rate estimates the probability that a displayed advertisement is clicked by a user after…

Machine Learning · Statistics 2017-07-10 Bora Edizel , Amin Mantrach , Xiao Bai

The video broadcasting industry has been growing significantly in the recent years, specially on delivering personalized contents to the end users. While video broadcasting has continued to grow beyond TV, video adverting has become a key…

Multimedia · Computer Science 2022-09-07 Mohammad Hosseini

The rapid advances in e-commerce and Web 2.0 technologies have greatly increased the impact of commercial advertisements on the general public. As a key enabling technology, a multitude of recommender systems exists which analyzes user…

Artificial Intelligence · Computer Science 2017-09-13 Nikhita Vedula , Wei Sun , Hyunhwan Lee , Harsh Gupta , Mitsunori Ogihara , Joseph Johnson , Gang Ren , Srinivasan Parthasarathy

Websites use third-party ads and tracking services to deliver targeted ads and collect information about users that visit them. These services put users' privacy at risk, and that is why users' demand for blocking these services is growing.…

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