@inproceedings{54df60d5d0834c239ca87a7f367a7c41,
title = "FrameCorr: Adaptive, Autoencoder-based Neural Compression for Video Reconstruction in Resource and Timing Constrained Network Settings",
abstract = "Video processing is becoming increasingly popular and cost-effective on IoT devices but faces challenges in transmitting data under varying timing constraints and network bandwidth. Existing compression methods struggle with incomplete data. We present FrameCorr, a deep learning framework that leverages prior-received video data to predict and reconstruct missing frame segments, enabling video reconstruction despite data loss.",
keywords = "Autoencoder, IoT, Neural Compression, Video Transmission",
author = "John Li and Deepak Nair and Klara Nahrstedt and Indranil Gupta and Ahmed, {Shehab Sarar}",
note = "Publisher Copyright: {\textcopyright} 2024 IEEE.; 26th International Symposium on Multimedia, ISM 2024 ; Conference date: 11-12-2024 Through 13-12-2024",
year = "2024",
doi = "10.1109/ISM63611.2024.00044",
language = "English (US)",
series = "Proceedings - 2024 International Symposium on Multimedia, ISM 2024",
publisher = "Institute of Electrical and Electronics Engineers Inc.",
pages = "197--200",
booktitle = "Proceedings - 2024 International Symposium on Multimedia, ISM 2024",
address = "United States",
}