18 citations · 35 across the 15 of their papers we have counts for
17 papers
Privacy-Preserving Feature Coding for Machines
Bardia Azizian, Ivan V. Bajić
Automated machine vision pipelines do not need the exact visual content to perform their tasks. Therefore, there is a potential to remove private information from the data without…
Scalable Video Coding for Humans and Machines
Hyomin Choi, Ivan V. Bajić
Video content is watched not only by humans, but increasingly also by machines. For example, machine learning models analyze surveillance video for security and traffic monitoring,…
License Plate Privacy in Collaborative Visual Analysis of Traffic Scenes
Saeed Ranjbar Alvar, Korcan Uyanik, Ivan V. Bajić
Traffic scene analysis is important for emerging technologies such as smart traffic management and autonomous vehicles. However, such analysis also poses potential privacy threats.…
Joint Image Compression and Denoising via Latent-Space Scalability
Saeed Ranjbar Alvar, Mateen Ulhaq, Hyomin Choi +1
When it comes to image compression in digital cameras, denoising is traditionally performed prior to compression. However, there are applications where image noise may be necessary…
Does Video Compression Impact Tracking Accuracy?
Takehiro Tanaka, Alon Harell, Ivan V. Bajić
Everyone "knows" that compressing a video will degrade the accuracy of object tracking. Yet, a literature search on this topic reveals that there is very little documented evidence…
Practical Noise Simulation for RGB Images
Saeed Ranjbar Alvar, Ivan V. Bajić
This document describes a noise generator that simulates realistic noise found in smartphone cameras. The generator simulates Poissonian-Gaussian noise whose parameters have been e…