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Video on the Web presents new challenges and opportunities. How do you make your video more accessible to those with various disabilities and needs? I'll show you how. This presentation will focus on how to write and deliver captions, subtitles, audio descriptions, and timed metadata tracks for Web video using the WebVTT W3C standard. Encoding timed text tracks in this way opens up opportunities for new functionality on your websites beyond accessibility. The presentation will show some examples of the potential for using timed text tracks in creative ways. I'll cover all the HTML and JavaScript you will need to know as well as some of the CSS and other bits you could probably do without but are too fun to pass up.
== Categorizing Records with Random Forests ==
* Geoffrey Boushey, geoffrey.boushey@ucsf.edu, UCSF Library
Academic libraries are increasingly responsible for providing ingest, search, discovery, and analysis for data sets. Emerging techniques from data science and machine learning can provide librarians and developers with an opportunity to generate new insights and services from these document collections. This presentation will provide a brief overview of common machine learning classification techniques, then dive into a more detailed example using a random forest to assign keywords to research data sets. The talk will emphasize the insight that can be gained from machine learning rather than the inner workings of the algorithms. The overall goal of this presentation is to provide librarians and developers with the context to recognize an opportunity to apply machine learning categorization techniques at their home campuses and organizations.
[[Category:Code4Lib2015]]
[[Category:Talk Proposals]]