Zobrazeno 1 - 10
of 14
pro vyhledávání: '"Mazumdar, Amrita"'
Autor:
Xing, Yazhou, Mazumdar, Amrita, Patney, Anjul, Liu, Chao, Yin, Hongxu, Chen, Qifeng, Kautz, Jan, Frosio, Iuri
Low dynamic range (LDR) cameras cannot deal with wide dynamic range inputs, frequently leading to local overexposure issues. We present a learning-based system to reduce these artifacts without resorting to complex acquisition mechanisms like alterna
Externí odkaz:
http://arxiv.org/abs/2308.15462
Autor:
Cheng, Yihua, Zhang, Ziyi, Li, Hanchen, Arapin, Anton, Zhang, Yue, Zhang, Qizheng, Liu, Yuhan, Zhang, Xu, Yan, Francis Y., Mazumdar, Amrita, Feamster, Nick, Jiang, Junchen
In real-time video communication, retransmitting lost packets over high-latency networks is not viable due to strict latency requirements. To counter packet losses without retransmission, two primary strategies are employed -- encoder-based forward e
Externí odkaz:
http://arxiv.org/abs/2305.12333
Autor:
Haynes, Brandon, Daum, Maureen, He, Dong, Mazumdar, Amrita, Balazinska, Magdalena, Cheung, Alvin, Ceze, Luis
We present a new video storage system (VSS) designed to decouple high-level video operations from the low-level details required to store and efficiently retrieve video data. VSS is designed to be the storage subsystem of a video data management syst
Externí odkaz:
http://arxiv.org/abs/2103.16604
Modern video data management systems store videos as a single encoded file, which significantly limits possible storage level optimizations. We design, implement, and evaluate TASM, a new tile-based storage manager for video data. TASM uses a feature
Externí odkaz:
http://arxiv.org/abs/2006.02958
Autor:
Mazumdar, Amrita, Haynes, Brandon, Balazinska, Magdalena, Ceze, Luis, Cheung, Alvin, Oskin, Mark
Compressed videos constitute 70% of Internet traffic, and video upload growth rates far outpace compute and storage improvement trends. Past work in leveraging perceptual cues like saliency, i.e., regions where viewers focus their perceptual attentio
Externí odkaz:
http://arxiv.org/abs/1902.01372
Autor:
Mazumdar, Amrita, Moreau, Thierry, Kim, Sung, Cowan, Meghan, Alaghi, Armin, Ceze, Luis, Oskin, Mark, Sathe, Visvesh
Publikováno v:
2017 IEEE International Symposium on Workload Characterization (IISWC)
Cameras are the defacto sensor. The growing demand for real-time and low-power computer vision, coupled with trends towards high-efficiency heterogeneous systems, has given rise to a wide range of image processing acceleration techniques at the camer
Externí odkaz:
http://arxiv.org/abs/1706.03864
Autor:
Lee, Vincent T., Mazumdar, Amrita, del Mundo, Carlo C., Alaghi, Armin, Ceze, Luis, Oskin, Mark
Similarity search is a key to a variety of applications including content-based search for images and video, recommendation systems, data deduplication, natural language processing, computer vision, databases, computational biology, and computer grap
Externí odkaz:
http://arxiv.org/abs/1606.03742
Akademický článek
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Autor:
Mazumdar, Amrita, Alaghi, Armin, Barron, Jonathan T., Gallup, David, Ceze, Luis, Oskin, Mark, Seitz, Steven M.
Publikováno v:
Proceedings of the 7th Conference on High-Performance Graphics; 7/28/2017, p1-10, 10p
Autor:
Mazumdar, Amrita
This paper presents a review of modern-day schlieren optics system and its application. Schlieren imaging systems provide a powerful technique to visualize changes or nonuniformities in refractive index of air or other transparent media. With the pop
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::a2b3db0b47734c3cfaeab3401a0d2477