Irfan Essa

Irfan Essa

Irfan Essa

Georgia Institute of Technology, US

Computational Video: Technologies for Analysis, Creation, Enhancement, and Sharing of Video

Computational technologies have had a huge impact on how video is captured, created, processed, distributed and shared. Content creation is (a) essentially multimodal, (b) driven by capture and mixing, (c) becoming collaborative, immersive, mobile, and (d) possible by not just experts, but by anyone. Distribution and sharing of content have changed too, leading to new forms of consumption of content. These trends require a newer set of computational tools to support the analysis, creation, and enhancement of media content.
In this talk about, I will make a series of observations about where these technologies are going, and showcase a few examples of my team’s work that are aimed at video creation, video summarization, video content analysis, video enhancement and collaboration with video. I will specifically show work on enhancing the quality of online videos (now running on YouTube and mobile phones), summarizing videos for sports and personal vacations, supporting the automated production of content, and extracting content and improving the quality of information from/in online videos.