Video and media analytics allows our scientists and engineers to use cognitive intelligence to personalize content, optimize data transport and delivery and provide insights for targeted advertising.
Drone Video Analytics for Cell Network Maintenance
Maintaining AT&T’s cellular antennas — over 1 million in the US — can be very challenging. We use drones to inspect the antennas and deploy deep learning models to analyze the video feeds and determine if there is something that needs to be addressed — like a bird’s nest, weather damage, or unplugged cables. This not only saves significant manual effort and time, but improves worker safety.
Metadata Extraction for Video Content
Video is expected to take up over 80% of internet traffic by 2020. We understand that video is important to serve our customers better, optimize advertising, and recommend content. We use AI methods to extract metadata from video using facial and voice recognition, text analytics of close captions, and deep learning to find semantic meaning from video scenes.
Demo: Tile-Based Viewport-Adaptive Panoramic Video Streaming on Smartphones
Feng Qian, Bo Han, Qingyang Xiao, Vijay Gopalakrishnan
LiveJack: Elastic CDNs-Edge Clouds Integration for Live Content Broadcasts
Shu Shi, Rittwik Jana, Bo Yan, Yong Liu, Haoqin He, Weizhe Yuan, Yang Xu, H. Jonathan Chao
ACM Multimedia, 2017
Deep Hashing: A Joint Approach for Image Signature Learning
Yadong Mu, Zhu Liu
MP-DASH: Adaptive Video Streaming Over Preference-Aware Multipath
Bo Han, Feng Qian, Lusheng Ji, Vijay Gopalakrishnan
ACM CoNEXT, 2016, Best paper award
Joint Audio-Visual Processing for Video Copy Detection
Zhu Liu, Eric Zavesky, David Gibbon, Behzad Shahraray
Academic Press Library in Signal Processing, 2014 (book chapter)