5 citations · 6 across the 8 of their papers we have counts for
9 papers
An Evaluation of ABR Switching for Time-Shifted Clients in MoQ
Abanisenioluwa Orojo, Tanvir Redoy, Samira Afzal +1
Media over QUIC enables ultra low latency video streaming over QUIC, but its default quality-switching semantics risk introducing playback gaps during periods of network congestion…
adder-viz: Real-Time Visualization Software for Transcoding Event Video
Andrew C. Freeman, Luke Reinkensmeyer
Recent years have brought about a surge in neuromorphic ``event'' video research, primarily targeting computer vision applications. Event video eschews video frames in favor of asy…
Scalable Event-Based Video Streaming for Machines with MoQ
Andrew C. Freeman
Lossy compression and rate-adaptive streaming are a mainstay in traditional video steams. However, a new class of neuromorphic ``event'' sensors records video with asynchronous pix…
Point Cloud Streaming with Latency-Driven Implicit Adaptation using MoQ
Andrew Freeman, Michael Rudolph, Amr Rizk
Point clouds are a promising video representation for virtual and augmented reality. Their high-bitrate, however, has so far limited the practicality of live streaming systems. In…
Toward Accessible and Safe Live Streaming Using Distributed Content Filtering with MoQ
Andrew C. Freeman
Live video streaming is increasingly popular on social media platforms. With the growth of live streaming comes an increased need for robust content moderation to remove dangerous,…
An Open Software Suite for Event-Based Video
Andrew C. Freeman
While traditional video representations are organized around discrete image frames, event-based video is a new paradigm that forgoes image frames altogether. Rather, pixel samples…
Enhancing Surveillance Camera FOV Quality via Semantic Line Detection and Classification with Deep Hough Transform
Andrew C. Freeman, Wenjing Shi, Bin Hwang
The quality of recorded videos and images is significantly influenced by the camera's field of view (FOV). In critical applications like surveillance systems and self-driving cars,…
Accelerated Event-Based Feature Detection and Compression for Surveillance Video Systems
Andrew C. Freeman, Ketan Mayer-Patel, Montek Singh
The strong temporal consistency of surveillance video enables compelling compression performance with traditional methods, but downstream vision applications operate on decoded ima…
An Asynchronous Intensity Representation for Framed and Event Video Sources
Andrew C. Freeman, Montek Singh, Ketan Mayer-Patel
Neuromorphic "event" cameras, designed to mimic the human vision system with asynchronous sensing, unlock a new realm of high-speed and high dynamic range applications. However, re…