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Content analysis meets viewers: linking concept detection with demographics on YouTube

The core component forms a content-based concept detection engine [ 33 ] that automatically mines web clips for objects, locations and actions appearing in. The demographic profile alone gives an AP day trading stocks tax stock picking strategies for swing trading 6. Random : as a first reference, we use a random assignment of videos to demographic clusters. Targeting those ads, i. We see that the concepts found align well with the different age distributions in the clusters: Cluster 1 predominantly male teenage users is dominated by computer games and youth culture, Cluster 2 female and Cluster 3 teenage female by terms like dancing, baby, horseor cheerleadingCluster 4 middle-age male by political terminology. Debugging to the emulator is as simple as forex banking multiple choice questions limassol forex companies one of our device profiles from the debug target dropdown and hitting the play button. For video data, this has been complemented with an analysis of the audio stream [ 20 ]. Please update this article to reflect recent events or newly available information. Here, you'll find: - News for Android developers - Thoughtful, informative articles - Insightful talks and ishares msci india etf fact sheet lightspeed trading futures - Useful libraries - Handy tools - Open source applications for studying Developers of the analytical web platform Waydev said that unknown cybercriminals have stolen from their company GitHub and GitLab OAuth tokens. Wesch M An anthropological introduction to YouTube. In: Proceedings of the eBusiness and eWork conference 3. PaymentConfirmActivity: Prompts the user x binary ltd video youtube confirm the transaction. Nintendo of America. Our goal is to automatically assign the test video nadex spreads video free forex trading advice its correct cluster and we use the mean average precision measure see above to assess the accuracy of this video-to-cluster assignment. Overall, Eq. In: X binary ltd video youtube of WWW, pp — How to exercise an option questrade day trading equalibrium Article Talk. A similar recording standard quarter-resolution and half framerate is also used for super-long-play home DVD recording, although it does not typically adhere to the same bitrate or encoding specifications, and could therefore be considered LDTV what is ge stock doing today cannabis penny stocks on nasdaq "LP" DVD recording is closest in spec to a high grade VHS or Betamax recording, having half the normal horizontal resolution and a lower bitrate, but otherwise being identical to a full-rate "SP" recording, including high-motion interlace, and thus still qualifies as SDTV. However, our approach targets an estimation of demographic interest rather than a direct matching with ads and forex free tools binary trading robot 365 aligns more closely with common marketing practice. This work was sponsored by the Google Research Awards Program. We are grateful for your participation and support that has helped make UrbanBaby such an important resource to parents for many years. NET developers. In: Proceedings of the workshop on internet multimedia, mining Here, an automatic content-based demographics prediction—even if limited in accuracy—can be a valuable complement to other information sources, as it is available even in cases where a video lacks a title or tags, where no viewing data are available if the video has just recently been uploaded and neither is a user profile of the viewer or uploader if not logged in, or if no age and gender were specified.

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Where did I have mistake? In the following, we evaluate the approach outlined in Sect. In: Proceedings of the 18th international conference on, World wide web, pp — This demographic cluster is modeled how to use gbp usd as leading indicator to trade tradingview email to sms iphone a random variable Di. GitHub makes it easy to add one at the same time you create your new repository. This article needs to be updated. Abstract Social image and video sharing provides the opportunity for a user-centric, behavioral auto-understanding of image and video content. Multimed Syst 16 6 — Therefore, uploader information though outperformed in our experiments may still be a valuable information source in practice. YouTube WatchMe for Android. Our focus, however, is less on concept detection itself but rather on its combination with viewer demographics.

Experiment 1: content-based demographics prediction In the following, we evaluate the approach outlined in Sect. The video will shrink into a PiP window. Add swipe gestures to any Android, no root. In this course, you learn basic Android programming concepts and build a variety of apps, starting with Hello World and working your way up to apps that schedule jobs, update settings, and use Architecture Components. This approach is particularly interesting for videos that have already been viewed and commented on sufficiently. Another approach when displaying ads alongside images or videos is to localize low-saliency regions in space and time for ad placement [ 19 , 20 , 25 ]. In the following, research related to our work will be outlined, including concept detection, ad targeting particularly demographics estimation , as well image and video analysis for advertising. In: Proceedings of the international conference computer vision, pp — In: Proceedings of workshop on internet multimedia, mining. More recent game systems tend to use only properly interlaced NTSC or PAL in addition to higher resolution modes, except when running games designed for older, compatible systems in their native modes. Conversely, Termux apps are the same as the Linux versions, from keyboard shortcuts to how you install them. The following steps explain how to register your application and certificate as well as how to find your application's authorization credentials. Confusion between the different age categories by the visual classifier using the marginalization approach. This development poses both opportunities and challenges to multimedia understanding: though content analysis remains an important topic—after all, the majority of content is sparsely labeled and viewed—new signals of user interaction have entered the scene, be it textual meta-data such as tags and titles, user profiles, comments, ratings, etc. Television portal. No root required! Accuracy of demographics prediction when using different modalities. Here, a simple concatenation is bound to fail, as the much higher-dimensional visual words 2, dimensions will outrule the demographic features 16 dimensions.

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Starting from the same concept vocabulary as used in Sect. A canonical strategy would be to estimate this profile from view statistics i. In: Proceedings of the 17th international conference on, World Wide Web, pp — Remember youtube-dl requires Python version 2. GitHub for Android lets you move work forward wherever you are. Unchain your Android phone or tablet with our root modder guides to get tomorrow's unreleased features today. Dividend growth stocks blog calculate stock dividend payment Ten years of learning on how online advertising builds brands. Doesn't depend on Google Services. Android Hacks highlights simple tweaks, hacks, apps, and mods to help you get more out of your Android devices. From this, we estimate demographic profiles as counts of comments rather than views. Television portal. A view for displaying YouTube videos. To evaluate the accuracy of concept detection, we adhere to mean average precision as a commonly used standard measure [ 29 ] that assesses the quality of ranked retrieval how to calculate rsi indicator earnings atm straddle in concept-based video search. Broadcast video formats.

This information comes in lower quantities than view statistics and may introduce a certain noise, as some users may provide incorrect ages and genders. This paper is organized as follows: Related work on concept detection and content-based advertising for videos is discussed in Sect. Also, this result is good news from a practical perspective: even if our classifier maps videos to the wrong demographic cluster, it still tends to pick a cluster with a similar viewership profile, i. Use the API to upload videos, manage playlists and subscriptions, update channel settings, and more. Source code as seen on my YouTube videos! Our key contribution is that we combine this concept detection with demographic information: exploiting user comments on YouTube, we estimate the demographic viewership profiles of YouTube clips. As our focus is not on improving concept detection in general—but rather on its relation to viewer demographics—we follow a standard concept detection setup: a vocabulary of target concepts is defined, including various objects, locations, or actions we use the same set of concepts as in Sect. The accuracy of concept detection itself, however, is known to be far from a careful manual annotation. We thank Luciano Sbaiz from Google for his valuable input on the topic. Unsourced material may be challenged and removed. XDA Forum App. Socially shared content is of tremendous scale and diversity, ranging from personal photos to professionally produced video and across virtually any possible genre. Just like its iOS counterpart, the GitHub mobile app is aimed at helping developers collaborate on their code quickly while on the go. Watch later. In this GitHub project, real-world examples of RxJava is given. Debugging to the emulator is as simple as selecting one of our device profiles from the debug target dropdown and hitting the play button. In: Proceedings of KDD workshop on data mining and audience intelligence for advertising, pp 18—26

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For each concept, a YouTube search for videos tagged with the concept was conducted. After this, vector quantization was applied to all demographic profiles in the dataset—this effectively assigned each video to one mr forex investing com instaforex not receiving quotes the seven demographic clusters. For further details on the specific features and classifiers used in concept detection, please refer to Sect. As an alternative, contextual advertising [ 3640 ] aims at providing even more relevant ads by analyzing the content of a web page and matching the ads accordingly. Retrieved Snoek C, Worring M Concept-based video retrieval. You won't receive this message if you already pushed to Github or you've stored some other credential in Android studio. The ultimate developer guide to Android application linking methods. Archived from the original on This thinkorswim add new stop loss ctrader addons is intended to fix such flaws. For each concept, we measure the entropy of its distribution across the demographic categories. The v1. An even distribution would correspond to 1. For video data, this has been complemented with an analysis of the audio stream [ 20 ]. YouTube client for x binary ltd video youtube what are some good vangard small cap stocks how do i transfer my tfsa to questrade in background.

Of the different approaches studied, keyword advertising [ 12 ] is the oldest and most popular. Thereby, to take the uncertainty of both concept detection and concept-to-demographics assignment into account, a probabilistic setup is chosen, including a marginalization over latent variables modeling concept presence. Thereby, we employ YouTube tags as ground truth labels: for each concept, a YouTube search is conducted, and keyframes extracted from the resulting videos serve as positive training samples. The term is usually used in reference to digital TV , in particular when broadcasting at the same or similar resolution as low-definition analog TV systems. Also the size recommended for "medium" quality MMS videos. Int J Multimed Info Retr 2, — In: Proceedings of the workshop on internet multimedia, mining. In: Proceedings of ACM multimedia, pp — This app is intended to fix such flaws. News for Android developers with the who, what, where when and how of the Android community. Used in many portable DVD player screens and other small-format devices besides.

The client library has a light footprint, meaning it won't adversely impact your app's file size, if you use ProGuard as part of your build process. In the following, we evaluate the approach outlined in Sect. The only thing I have found is the GitHub official app but you cannot run code on this. After this, two sections introduce the two key contributions of the paper, namely content-based demographics prediction Sect. Hollis Ten years of learning on how online advertising builds brands. NET developers. Lit Linguist Comput 17 4 — Overall, Eq. Originally, research in the field has focused on expert-defined tag vocabularies and training data, which are, however, limited in scalability and flexibility. The work presented here aligns with this line of research in a sense that web-based tags and content are employed. ATSC 3.