Zobrazeno 1 - 10
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pro vyhledávání: '"A. Harell"'
A basic premise in scalable human-machine coding is that the base layer is intended for automated machine analysis and is therefore more compressible than the same content would be for human viewing. Use cases for such coding include video surveillan
Externí odkaz:
http://arxiv.org/abs/2307.02430
Autor:
Harell, Alon, Foroutan, Yalda, Ahuja, Nilesh, Datta, Parual, Kanzariya, Bhavya, Somayaulu, V. Srinivasa, Tickoo, Omesh, de Andrade, Anderson, Bajic, Ivan V.
Recent years have seen a tremendous growth in both the capability and popularity of automatic machine analysis of images and video. As a result, a growing need for efficient compression methods optimized for machine vision, rather than human vision,
Externí odkaz:
http://arxiv.org/abs/2305.17295
Compression for machines is an emerging field, where inputs are encoded while optimizing the performance of downstream automated analysis. In scalable coding for humans and machines, the compressed representation used for machines is further utilized
Externí odkaz:
http://arxiv.org/abs/2305.10453
We present methods for conditional and residual coding in the context of scalable coding for humans and machines. Our focus is on optimizing the rate-distortion performance of the reconstruction task using the information available in the computer vi
Externí odkaz:
http://arxiv.org/abs/2305.02562
In recent years, there has been a sharp increase in transmission of images to remote servers specifically for the purpose of computer vision. In many applications, such as surveillance, images are mostly transmitted for automated analysis, and rarely
Externí odkaz:
http://arxiv.org/abs/2209.11694
Passing during power plays in hockey is a crucial component to move one's team closer to scoring a goal. With the use of women's ice hockey event and tracking data from the elimination round games during the 2022 Winter Olympics, we evaluate passing
Externí odkaz:
http://arxiv.org/abs/2205.13678
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 for this presumed fact. Part of the reason is that, until recently, t
Externí odkaz:
http://arxiv.org/abs/2202.00892
Non-intrusive load monitoring (NILM) allows users and energy providers to gain insight into home appliance electricity consumption using only the building's smart meter. Most current techniques for NILM are trained using significant amounts of labele
Externí odkaz:
http://arxiv.org/abs/2007.13645
Methods for creating a system to automate the collection of swimming analytics on a pool-wide scale are considered in this paper. There has not been much work on swimmer tracking or the creation of a swimmer database for machine learning purposes. Co
Externí odkaz:
http://arxiv.org/abs/2001.04433
Non-intrusive load monitoring (NILM) helps meet energy conservation goals by estimating individual appliance power usage from a single aggregate measurement. Deep neural networks have become increasingly popular in attempting to solve NILM problems;
Externí odkaz:
http://arxiv.org/abs/1902.08736