For the full video of this presentation, please visit:
http://www.embedded-vision.com/platinum-members/analog-devices/embedded-vision-training/videos/pages/may-2014-embedded-vision-summi
For more information about embedded vision, please visit:
http://www.embedded-vision.com
Rajesh Mahapatra, Engineering Manager at Analog Devices, presents the "Multiple Uses of Pipelined Video Pre-Processor Hardware in Vision Applications" tutorial at the May 2014 Embedded Vision Summit.
Significant resemblance and overlap exist among the pre-processing blocks of different vision applications. For instance, image gradients and edges have proven beneficial for a variety of applications, such as face detection, traffic sign recognition, and fault detection. What if such pre-processing was available "for free" to vision developers, as a built-in hardware feature with a compute pipelining mechanism?
In this presentation, Mahapatra illustrates how edge detection as a pre-processing tool can be used effectively to reduce the computational cost of vision applications, enabling low-power implementations. Analog Devices' examples include the detection of faces, traffic speed limit signs and irises, demonstrating a significant reduction in programmable DSP loading.
Automatic Sound Signals Quality Estimation Business BenefitsSevana Oü
This presentation describes benefits for business in choosing Sevana voice quality analysis software. It\'s hard to believe that state-of-the-art demanding solution does exist, but one who does it first wins and "the winner takes it all!"
For the full video of this presentation, please visit:
http://www.embedded-vision.com/platinum-members/analog-devices/embedded-vision-training/videos/pages/may-2014-embedded-vision-summi
For more information about embedded vision, please visit:
http://www.embedded-vision.com
Rajesh Mahapatra, Engineering Manager at Analog Devices, presents the "Multiple Uses of Pipelined Video Pre-Processor Hardware in Vision Applications" tutorial at the May 2014 Embedded Vision Summit.
Significant resemblance and overlap exist among the pre-processing blocks of different vision applications. For instance, image gradients and edges have proven beneficial for a variety of applications, such as face detection, traffic sign recognition, and fault detection. What if such pre-processing was available "for free" to vision developers, as a built-in hardware feature with a compute pipelining mechanism?
In this presentation, Mahapatra illustrates how edge detection as a pre-processing tool can be used effectively to reduce the computational cost of vision applications, enabling low-power implementations. Analog Devices' examples include the detection of faces, traffic speed limit signs and irises, demonstrating a significant reduction in programmable DSP loading.
Automatic Sound Signals Quality Estimation Business BenefitsSevana Oü
This presentation describes benefits for business in choosing Sevana voice quality analysis software. It\'s hard to believe that state-of-the-art demanding solution does exist, but one who does it first wins and "the winner takes it all!"
SMPTE Toronto Presentation - Multi Camera High Definition TV Studio and Roger...Brad Fortner
Presentation to SMPTE Toronto on Canada's first High Definition TV Studio and Rogers Communications Centre Tour. Presentation and tour occurred on December 11, 2005.
Presentation by Lieven Bertels on the 2010 Holland Festival 4K Experiment. 3D stereoscopic capture of Bach violin work by Viktoria Mullova. This presentation was delivered on 13 December 2010 at CallIT-2, UCSD, Ja Jolla, California.
For the full video of this presentation, please visit: https://www.edge-ai-vision.com/2022/09/comparing-ml-based-audio-with-ml-based-vision-an-introduction-to-ml-audio-for-ml-vision-engineers-a-presentation-from-dsp-concepts/
Josh Morris, Engineering Manager at DSP Concepts, presents the “Comparing ML-Based Audio with ML-Based Vision: An Introduction to ML Audio for ML Vision Engineers” tutorial at the May 2022 Embedded Vision Summit.
As embedded processors become more powerful, our ability to implement complex machine learning solutions at the edge is growing. Vision has led the way, solving problems as far-reaching as facial recognition and autonomous navigation. Now, ML audio is starting to appear in more and more edge applications, for example in the form of voice assistants, voice user interfaces and voice communication systems.
Although audio data is quite different from video and image data, ML audio solutions often use many of the same techniques initially developed for video and images. In this talk, Morris introduces the ML techniques commonly used for audio at the edge, and compares and contrasts them with those commonly used for vision. You’ll get inspired to integrate ML-based audio into your next solution.
With over 16 years of experience in ”Specification to Silicon” design services, close to among 400+ ASIC design & verification engineers, and over 150 first pass silicon successes across various industries, eInfochips has the expertise to deal with the decreasing size, increasing complexity of Digital ASICs while ensuring quick Time-To-Market. eInfochips expertise in silicon & IC design services can transfer your product ideas into highly integrated ASIC and System on Chip solutions at an optimum cost.
eInfochips proven physical design flow, methodologies, and rich experience helps us to deliver physical design implementation with superior performance across 180 -16nm technology node. Our comprehensive internal checklist for Sign off ensures Netlist to GDSII in < 3 iterations.
Lync Server 2013: Network Quality considerations in LAN, WAN and Wi-FiStåle Hansen
•VoIP Metrics
•Demo of how the Lync client notifies users of poor network
•Codecs and Bandwith
•Lync Bandwith planning
•Short demo of the Lync bandwith calculator
•QoS in networks
•Optimizing for voice in Wi-Fi with different vendors
Watch the recording with demo:
SMPTE Toronto Presentation - Multi Camera High Definition TV Studio and Roger...Brad Fortner
Presentation to SMPTE Toronto on Canada's first High Definition TV Studio and Rogers Communications Centre Tour. Presentation and tour occurred on December 11, 2005.
Presentation by Lieven Bertels on the 2010 Holland Festival 4K Experiment. 3D stereoscopic capture of Bach violin work by Viktoria Mullova. This presentation was delivered on 13 December 2010 at CallIT-2, UCSD, Ja Jolla, California.
For the full video of this presentation, please visit: https://www.edge-ai-vision.com/2022/09/comparing-ml-based-audio-with-ml-based-vision-an-introduction-to-ml-audio-for-ml-vision-engineers-a-presentation-from-dsp-concepts/
Josh Morris, Engineering Manager at DSP Concepts, presents the “Comparing ML-Based Audio with ML-Based Vision: An Introduction to ML Audio for ML Vision Engineers” tutorial at the May 2022 Embedded Vision Summit.
As embedded processors become more powerful, our ability to implement complex machine learning solutions at the edge is growing. Vision has led the way, solving problems as far-reaching as facial recognition and autonomous navigation. Now, ML audio is starting to appear in more and more edge applications, for example in the form of voice assistants, voice user interfaces and voice communication systems.
Although audio data is quite different from video and image data, ML audio solutions often use many of the same techniques initially developed for video and images. In this talk, Morris introduces the ML techniques commonly used for audio at the edge, and compares and contrasts them with those commonly used for vision. You’ll get inspired to integrate ML-based audio into your next solution.
With over 16 years of experience in ”Specification to Silicon” design services, close to among 400+ ASIC design & verification engineers, and over 150 first pass silicon successes across various industries, eInfochips has the expertise to deal with the decreasing size, increasing complexity of Digital ASICs while ensuring quick Time-To-Market. eInfochips expertise in silicon & IC design services can transfer your product ideas into highly integrated ASIC and System on Chip solutions at an optimum cost.
eInfochips proven physical design flow, methodologies, and rich experience helps us to deliver physical design implementation with superior performance across 180 -16nm technology node. Our comprehensive internal checklist for Sign off ensures Netlist to GDSII in < 3 iterations.
Lync Server 2013: Network Quality considerations in LAN, WAN and Wi-FiStåle Hansen
•VoIP Metrics
•Demo of how the Lync client notifies users of poor network
•Codecs and Bandwith
•Lync Bandwith planning
•Short demo of the Lync bandwith calculator
•QoS in networks
•Optimizing for voice in Wi-Fi with different vendors
Watch the recording with demo:
Sundance has been involved with Design, Build and Testing of Multiprocessor solutions and Embedded Processing Platforms for the past 25 years. These Slides provide a quick snap-shot of where we are in Year 2014 and a little bit about where are heading
Full immersion is achieved by simultaneously focusing on the broader dimensions of visual quality, sound quality, and intuitive interactions. This presentation discusses how:
- Technology improvements continue to drive more immersive experiences, especially for VR and AR
- High Dynamic Range (HDR) will enhance the visual quality on all our screens
- Scene-based audio is a new paradigm for 3D audio
- Natural user interfaces like voice, gestures, and eye tracking are making interactions more intuitive
12. Conclusion
Cons
• Destruction of stereo
• Requires multiple power sources
• PCB a better option
Pros
• Processes audio in analog and digital forms
• All components work as designed
• Excellent learning experience
13.
14. ThankYou
Thank you to all the instructors at NAIT for their support
and knowledge.
Any questions?