no code implementations • 20 Dec 2022 • Evgenya Pergament, Pulkit Tandon, Oren Rippel, Lubomir Bourdev, Alexander G. Anderson, Bruno Olshausen, Tsachy Weissman, Sachin Katti, Kedar Tatwawadi
The contributions of this work are threefold: (1) we introduce a web-tool which allows scalable collection of fine-grained perceptual importance, by having users interactively paint spatio-temporal maps over encoded videos; (2) we use this tool to collect a dataset with 178 videos with a total of 14443 frames of human annotated spatio-temporal importance maps over the videos; and (3) we use our curated dataset to train a lightweight machine learning model which can predict these spatio-temporal importance regions.
1 code implementation • 8 May 2022 • Evgenya Pergament, Pulkit Tandon, Kedar Tatwawadi, Oren Rippel, Lubomir Bourdev, Bruno Olshausen, Tsachy Weissman, Sachin Katti, Alexander G. Anderson
We use this tool to collect data in-the-wild (10 videos, 17 users) and utilize the obtained importance maps in the context of x264 coding to demonstrate that the tool can indeed be used to generate videos which, at the same bitrate, look perceptually better through a subjective study - and are 1. 9 times more likely to be preferred by viewers.
no code implementations • ICCV 2021 • Oren Rippel, Alexander G. Anderson, Kedar Tatwawadi, Sanjay Nair, Craig Lytle, Lubomir Bourdev
In this setting, for natural videos our approach compares favorably across the entire R-D curve under metrics PSNR, MS-SSIM and VMAF against all mainstream video standards (H. 264, H. 265, AV1) and all ML codecs.
1 code implementation • 7 Nov 2020 • Roshan Prabhakar, Shubham Chandak, Carina Chiu, Renee Liang, Huong Nguyen, Kedar Tatwawadi, Tsachy Weissman
COVID-19 has made video communication one of the most important modes of information exchange.
2 code implementations • 8 Nov 2019 • Mohit Goyal, Kedar Tatwawadi, Shubham Chandak, Idoia Ochoa
We propose DZip, a general-purpose compressor for sequential data that exploits the well-known modeling capabilities of neural networks (NNs) for prediction, followed by arithmetic coding.
1 code implementation • 1 Nov 2019 • Shubham Chandak, Kedar Tatwawadi, Chengtao Wen, Lingyun Wang, Juan Aparicio, Tsachy Weissman
Time series data compression is emerging as an important problem with the growth in IoT devices and sensors.
1 code implementation • 19 Jun 2019 • Kedar Tatwawadi, Shubham Chandak
It is not intended to be an exhaustive survey of works on deletion channel, but more as a tutorial to some of the important and cute ideas in this area.
Data Structures and Algorithms Information Theory Signal Processing Information Theory
1 code implementation • 20 Nov 2018 • Mohit Goyal, Kedar Tatwawadi, Shubham Chandak, Idoia Ochoa
We combine recurrent neural network predictors with an arithmetic coder and losslessly compress a variety of synthetic, text and genomic datasets.
1 code implementation • 19 Nov 2018 • Kristy Choi, Kedar Tatwawadi, Aditya Grover, Tsachy Weissman, Stefano Ermon
For reliable transmission across a noisy communication channel, classical results from information theory show that it is asymptotically optimal to separate out the source and channel coding processes.
no code implementations • 25 Oct 2018 • Ashutosh Bhown, Soham Mukherjee, Sean Yang, Shubham Chandak, Irena Fischer-Hwang, Kedar Tatwawadi, Judith Fan, Tsachy Weissman
The images, results and additional data are available at https://compression. stanford. edu/human-compression
no code implementations • 27 Sep 2018 • Kristy Choi, Kedar Tatwawadi, Tsachy Weissman, Stefano Ermon
For reliable transmission across a noisy communication channel, classical results from information theory show that it is asymptotically optimal to separate out the source and channel coding processes.
no code implementations • 13 Sep 2018 • Tianze Shi, Kedar Tatwawadi, Kaushik Chakrabarti, Yi Mao, Oleksandr Polozov, Weizhu Chen
We present a sequence-to-action parsing approach for the natural language to SQL task that incrementally fills the slots of a SQL query with feasible actions from a pre-defined inventory.
1 code implementation • 9 Jul 2018 • Chenglong Wang, Kedar Tatwawadi, Marc Brockschmidt, Po-Sen Huang, Yi Mao, Oleksandr Polozov, Rishabh Singh
We consider the problem of neural semantic parsing, which translates natural language questions into executable SQL queries.