Network and Multimedia Systems Lab (NMSL) - Revision history

Mhefeeda at 21:10, 25 October 2023

2023-10-25T21:10:53Z

Mhefeeda at 23:06, 22 December 2022

2022-12-22T23:06:19Z

Mhefeeda at 23:01, 22 December 2022

2022-12-22T23:01:11Z

Mhefeeda at 22:48, 22 December 2022

2022-12-22T22:48:44Z

Mhefeeda: /* Hyperspectral Imaging */

2022-12-22T22:19:42Z

Hyperspectral Imaging

Mhefeeda: /* Cloud Gaming */

2022-12-22T22:12:24Z

Cloud Gaming

Mhefeeda at 22:07, 22 December 2022

2022-12-22T22:07:12Z

Mhefeeda at 22:19, 21 December 2022

2022-12-21T22:19:41Z

Mhefeeda: /* Cloud Gaming */

2022-12-21T18:22:45Z

Cloud Gaming

Mhefeeda at 00:26, 22 January 2022

2022-01-22T00:26:38Z

← Older revision		Revision as of 21:10, 25 October 2023
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−	We publish papers in reputable conferences and journals. Most of our Journal Publications are in the premier IEEE and ACM transactions in our areas, such as IEEE Trans. on MM, ACM Trans. on MM, and IEEE/ACM Trans. on Networking. Similarly, most of our Conference Publications are in selective and high-quality conferences, including NSDI, MM, INFOCOM, ICNP, ~~CVPR,~~ MMSys~~, and SIGGRAPH~~.	+	We publish papers in reputable conferences and journals. Most of our Journal Publications are in the premier IEEE and ACM transactions in our areas, such as IEEE Trans. on MM, ACM Trans. on MM, and IEEE/ACM Trans. on Networking. Similarly, most of our Conference Publications are in selective and high-quality conferences, including MM, NSDI, MobiCom, INFOCOM, ICNP, and MMSys.

	Brief descriptions and links to some of our active and concluded projects are given below.		Brief descriptions and links to some of our active and concluded projects are given below.

@@ Line 23: / Line 23: @@
 * '''''ISP and CDN Traffic Management:''''' developing algorithms to support multicast traffic engineering in ISP and CDN networks.
 * '''''Datacenter Task Scheduling:''''' designing in-network, fine-grain, schedulers for micro-second scale tasks to support interactive workloads.
 We publish papers in reputable conferences and journals. Most of our Journal Publications are in the premier IEEE and ACM transactions in our areas, such as IEEE Trans. on MM, ACM Trans. on MM, and IEEE/ACM Trans. on Networking. Similarly, most of our Conference Publications are in selective and high-quality conferences, including NSDI, MM, INFOCOM, ICNP, CVPR, MMSys, and SIGGRAPH.

@@ Line 23: / Line 23: @@
 * '''''ISP and CDN Traffic Management:''''' developing algorithms to support multicast traffic engineering in ISP and CDN networks.
 * '''''Datacenter Task Scheduling:''''' designing in-network, fine-grain, schedulers for micro-second scale tasks to support interactive workloads.
 We publish papers in reputable conferences and journals. Most of our Journal Publications are in the premier IEEE and ACM transactions in our areas, such as IEEE Trans. on MM, ACM Trans. on MM, and IEEE/ACM Trans. on Networking. Similarly, most of our Conference Publications are in selective and high-quality conferences, including NSDI, MM, INFOCOM, ICNP, CVPR, MMSys, and SIGGRAPH.
 Brief descriptions and links to some of our active and concluded projects are given below.
 == '''Hyperspectral Imaging''' ==
@@ Line 54: / Line 47: @@
 The goal of this project is to design and implement a comprehensive, end-to-end, framework for next-generation cloud gaming systems to optimize the video quality, bitrate, and end-to-end delay.
-This project is supported by '''AMD Canada'' and an '''NSERC Alliance''' project.
+This project is supported by '''AMD Canada''' and an '''NSERC Alliance''' project.
 '''[[Cloud Gaming | Project Page ...]]'''
@@ Line 73: / Line 66: @@
 [[File:Orca.png|thumb|Design of Orca (multicast system for datacenters). |right]]
 |}
 == '''Multimedia Forensics''' ==
@@ Line 84: / Line 86: @@
 [[File:MakeupAttacks.png|thumb|right|Sample makeup attacks. ]]
 |}

@@ Line 44: / Line 44: @@
 ||
-[[File:Hyperspectral.png|thumb|right]]
+[[File:Hyperspectral signatures.png|thumb|Hyperspctral imaging.|right]]
 |}
 == '''Cloud Gaming''' ==
 {|
+|
 Cloud gaming enables users to play games on virtually any device. This is achieved by offloading the game rendering and encoding to cloud datacenters. As game resolutions and frame rates increase, cloud gaming platforms face a major challenge to stream high-quality games due to the high bandwidth and low latency requirements.
@@ Line 60: / Line 58: @@
 '''[[Cloud Gaming | Project Page ...]]'''
-|| [[File:CloudGaming.png|thumb|right]]
+|| [[File:CloudGaming.png|thumb|Overview of cloud gaming architectures.|right]]
 |}
-== '''Scalable Multicast for ISP and Datacenter Networks''' ==
+== '''Datacenter and ISP Networks''' ==
-In this project, we design scalable multicast systems for general ISP networks and datacenter networks.
+This work was supported by '''Cisco''' and an '''NSERC Strategic''' project.
 '''[[Scalable Multicast | Project Page ...]]'''
 == '''Multimedia Forensics''' ==
 '''[[Multimedia Forensics | Project Page ...]]'''
-== '''ISP and CDN Traffic Management''' ==
+||
 = '''''[[Concluded Projects]]''''' =
 Please check [[Concluded Projects | '''this link''']] for some of our previous projects.

@@ Line 36: / Line 36: @@
 == '''Hyperspectral Imaging''' ==
-Hyperspectral cameras capture scenes in many wavelength bands across the spectrum, providing far more information than regular cameras that operate in the visible light range. For example, when observing a remote object (e.g., a car), signals in the visible light band can show the shape/color of the object, whereas signals in the infrared band can determine the temperature of that object (e.g., whether the car engine is on). Furthermore, signals in other bands can identify the surroundings of that object, e.g., whether the area has vegetation, the moisture level in the soil, and the presence and depth of water nearby. Current, commercially available, hyperspectral cameras can capture more than 200 bands, and thus produce huge amounts of high-dimensional data. Hyperspectral imaging can be useful in many commercial/civilian applications such as agricultural research, land-cover mapping, forest monitoring, and mapping of natural disasters, as well as military applications including remote sensing, surveillance, and identification of camouflaged objects.
+{|
-Despite the substantial potential of hyperspectral imaging, its utilization has been limited to a small subset of large-scale military and industrial applications. The long-term goal of this research is to enable wide adoption of hyperspectral imaging in many applications.
+| Hyperspectral cameras capture scenes in many wavelength bands across the spectrum, providing far more information than regular cameras that operate in the visible light range. Hyperspectral imaging can be useful in many commercial/civilian applications such as agricultural research, land-cover mapping, forest monitoring, and mapping of natural disasters, as well as military applications including remote sensing, surveillance, and identification of camouflaged objects.
-'''[[Hyperspectral Imaging|Project Page ...]]'''
+Despite the substantial potential of hyperspectral imaging, its utilization has been limited to a small subset of large-scale military and industrial applications. The long-term goal of this research is to enable the wide adoption of hyperspectral imaging in many real-life applications.
 == '''Cloud Gaming''' ==

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 '''Welcome to the Network and Multimedia Systems Lab (NMSL) at SFU!'''
-We are interested in the broad areas of multimedia systems, machine learning, and computer networks. We develop algorithms and systems to efficiently distribute multimedia content to large-scale user communities over wired and wireless networks. We design machine learning models to address important and challenging problems in multimedia and network systems. In most of our works, we develop prototypes and testbeds to demonstrate the practicality of our solutions and show their performance in actual environments.
+The Network and Multimedia Systems Lab is led by [http://www.cs.sfu.ca/~mhefeeda/ Dr. Mohamed Hefeeda,] and it is located in the TASC1 building, room 8208.
-The Network and Multimedia Systems Lab is led by [http://www.cs.sfu.ca/~mhefeeda/ Dr. Mohamed Hefeeda,] and it is located in the TASC1 building, room 8208.
+We are interested in the broad areas of multimedia systems, machine learning, and computer networks. We develop algorithms and systems to efficiently distribute multimedia content to large-scale user communities over wired and wireless networks. We design machine learning models to address important and challenging problems in multimedia and network systems. Our current research projects include hyperspectral imaging, datacenter networking, scalable multicast systems, cloud gaming, multimedia forensics, mobile multimedia, and AR/VR content processing and streaming. In most of our works, we develop prototypes and testbeds to demonstrate the practicality of our solutions and show their performance in actual environments.
-Our current research projects include hyperspectral imaging, datacenter networking, scalable multicast systems, cloud gaming, multimedia forensics, mobile multimedia, and AR/VR content processing and streaming. Brief descriptions and links to some of our active projects are given below.
+At a high level, our current research interests include:
 == '''Immersive and Next-Generation Videos''' ==

@@ Line 7: / Line 7: @@
 The Network and Multimedia Systems Lab is led by [http://www.cs.sfu.ca/~mhefeeda/ Dr. Mohamed Hefeeda,] and it is located in the TASC1 building, room 8208. We hold regular [[group meeting]] for discussion and brainstorming.
-Our current research projects include hyperspectral imaging, scalable multicast systems, cloud gaming, multimedia forensics, mobile multimedia, and AR/VR content processing and streaming. Brief descriptions and links to some of our active projects are given below.
+Our current research projects include hyperspectral imaging, datacenter networking, scalable multicast systems, cloud gaming, multimedia forensics, mobile multimedia, and AR/VR content processing and streaming. Brief descriptions and links to some of our active projects are given below.
 == '''Immersive and Next-Generation Videos''' ==