Uploaded by MulticoreWare

7 SLIDES

98 VIEWS

70LIKES

AI Video Analytics | Media Analysis using Deep Learning | MulticoreWare

DESCRIPTION

MulticoreWare offers state-of-the-art high-performance AI-based analytics solutions for any media content. Reach out to see what we can do for you. For more, please visit: https://multicorewareinc.com/media-analytics/

AI Video Analytics | Media Analysis using Deep Learning | MulticoreWare

An Image/Link below is provided (as is) to download presentation Download Policy: Content on the Website is provided to you AS IS for your information and personal use and may not be sold / licensed / shared on other websites without getting consent from its author. Content is provided to you AS IS for your information and personal use only. Download presentation by click this link. While downloading, if for some reason you are not able to download a presentation, the publisher may have deleted the file from their server. During download, if you can't get a presentation, the file might be deleted by the publisher.

E N D

Presentation Transcript

Deep Learning

Deep Learning. PAINT AND CLAY. Where to buy clay and paint. Clay and bulk paint can be purchased locally or from: www.schoolsupplies.co.nz online@schoolsupplies.co.nz (order online) Or Freephone 0800.222.111. The clay used in these slides is air dried

355 views • 13 slides

Deep Learning

Deep Learning. Deep learning?. MLP-&gt; NN-&gt; Deep Learning Deep networks trained with backpropagation (without unsupervised pretraining ) perform worse than shallow networks Supervised/unsupervised Each layer. Advantage. Deep Architectures can be representationally efficient

599 views • 10 slides

Deep Learning!!!!

Deep Learning!!!!. Decorate your gingerbread decoration but DON’T eat it !!!!! p.s. yet!!. Now start to eat it and think about how it tastes!!. Write a paragraph to describe your ginger bread decoration!. Share your description with a partner! Write one description between you!.

406 views • 8 slides

Deep learning

Deep learning. Harrison Littler and Peter Jones Monday 15 th April 2013. Do any of these statements match your experience? . Reflecting on our current practice. Aim of this session:

1.11k views • 17 slides

Deep Learning

Deep Learning. Early Work Why Deep Learning Stacked Auto Encoders Deep Belief Networks. Deep Learning Overview. Train networks with many layers (vs. shallow nets with just a couple of layers) Multiple layers work to build an improved feature space

810 views • 34 slides

Deep Learning

Deep Learning. Why?. Source: Huang et al., Communications ACM 01/2014.

622 views • 39 slides

Deep Learning

Deep Learning. Bing-Chen Tsai 1/21. outline. Neural networks Graphical model Belief nets Boltzmann machine DBN Reference. Neural networks. Supervised learning The training data consists of input information with their corresponding output information. Unsupervised learning

713 views • 32 slides

Video Analytics

Video Analytics. - Techlead Software Engineering Pvt. Ltd. Why Video Analytics?. The increasing rate of crime calls for effective security measures. Security Personnel, IP Cameras, CCTV are usually employed for these reasons.

628 views • 34 slides

Deep Learning

Deep Learning. Supervised Learning. Works well if we have right features Domains like computer vision, audio processing, and natural language processing requires feature engineering. Feature Engineering is tough job Manually finding right features does not scale well. What?.

596 views • 23 slides

Learning Deep Architectures for AI

Learning Deep Architectures for AI. Yoshua Bengio. Deep Architecture in our Mind.  Humans organize their ideas and concepts hierarchically  Humans first learn simpler concepts and then compose them to represent more abstract ones

718 views • 16 slides

Deep Learning

Deep Learning. Yann Le Cun The Courant Institute of Mathematical Sciences New York University http://yann.lecun.com. The Challenges of Machine Learning. How can we use learning to progress towards AI? Can we find learning methods that scale?

1.19k views • 69 slides

Deep learning

And Deep Networks for Natural Language Processing. Deep learning. Overview of the Talk. Overview of Deep Learning Justification Properties of Deep Learning Neural Networks 101 Brief History of Deep Learning Implementation Details RBM’s and DBN’s Auto-Encoders Deep Learning for NLP

1.53k views • 78 slides

Learning Analytics Using Moodle

Learning Analytics Using Moodle. Learning analytics is the use of intelligent data, learner-produced data, and analysis models to discover information and social connections, and to predict and advise on learning. George Siemens

384 views • 15 slides

The AI Era Ignited by GPU Deep Learning

GPU Deep Learning has sparked a wave of innovations that will usher in the next era of computing. Read more.

804 views • 28 slides

Artificial Intelligence (AI) Based Video Analytics & Motion Analytics

Digital transformation has brought the trotting globe together -- on one pace, a big part of this interconnection has been through the use of videos. But there's more to it than just entertainment videos, a large number of these videos are being used for research and educational purposes too, all of which is done by leveraging powerful technologies, those such as Artificial Intelligence. At 0:40 we have mentioned AI in Video Analytics, a sphere of technology which has been influenced by AI, with the help of AI based Video Analytics softwares, one can get more insights from a video be it live or recorded. The benefit of AI in Video Processing ensures that only the required data is gathered, those defined by the client. The best part about these AI Video Softwares is that they're able to process a vast amount of data through the help of Artificial Intelligence this puts all hindrance at bay. These Video Analysis Softwares are also being used to keep a track on surveillance footages, using AI in Video Surveillance footages provides a huge boost to public saftey since there's a huge amount of data being processed, faces being scanned and unusual activities being spotted, any anomalies can be instantly detected to send a red alert. Artificial Intelligence in Video Analytics also has a sub-branch of Motion Analytics. This branch capitalizes on the power of AI in Motion Analytics and similar to Video Analytics, it provides insights as to the specification of the client, it also tracks, processes and delivers motion information through the use of Motion Analysis Softwares. Uncover the hidden insights from your video data and learn what the cameras know using OSP's Video AI Analytics (https://www.osplabs.com/ai-video-analytics/) and Motion AI Analytics Softwares (https://www.osplabs.com/ai-motion-analytics/).

396 views • 32 slides

AI In Video Analytics Software Solutions

OSP can create customized AI video analytics software solutions utilizes the combined capabilities of artificial intelligence, supervised machine learning and deep neural networks together to offer accurate video analysis in real-time. Website:- https://www.osplabs.com/ai-video-analytics/

353 views • 32 slides

Video Technology & Analytics

Video is ubiquitous. Therefore, utilising the information extracted from videos is practically intelligent. Not only are OTT players benefitting; it also helps governments and other agencies to solve many practical problems in real-time. Video analytics being one of the most sought after IT services and Sphinx Worldbiz delivers. To know more about our Video Technology services visit our website: https://sphinxworldbiz.net/video-technology/

58 views • 1 slides

Using Data Analytics in Journalism Media Systems

From 2010 2018, the computational technology changes are made enormously. Technological gadgets like desktops, laptops are succeeded by mini laptops, tablets, smart phone, and watches. The traditional journalism media systems said to be in dissolved states right now. In next upcoming decade the media communication of journalism will affect maximum number of changes. The top newspapers like New York Times, HuffingtonPost, Times magazine are also affected and willing to proceed for changes. The most of historic newspaper Medias are concentrating on digital platform from being destroyed in competitive world. The online subscriptions are given in suitable prices to end users readers having special discounts, offers etc. Using data analytics in offline media can lead to increase number of conversion to upcoming trend in gradual way. Mr. Dinesh D. Kudache "Using Data Analytics in Journalism Media Systems" Published in International Journal of Trend in Scientific Research and Development (ijtsrd), ISSN: 2456-6470, Special Issue | International Conference on Digital Economy and its Impact on Business and Industry , October 2018, URL: https://www.ijtsrd.com/papers/ijtsrd18713.pdf Paper URL: http://www.ijtsrd.com/management/marketing-management/18713/using-data-analytics-in-journalism-media-systems/mr-dinesh-d-kudache

50 views • 3 slides

Image Classification using Deep Learning

Most of the existing image recognitions systems are based on physical parameters of the images whereas image processing methodologies relies on extraction of color, shape and edge features. Thus Transfer Learning is an efficient approach of solving classification problem with little amount of data. There are many deep learning algorithms but most tested one is AlexNet. It is well known Convolution Neural Network AlexNet CNN for recognition of images using deep learning. So for recognition and detection of the image we have proposed Deep Learning approach in this project which can analyse thousands of images which may take a lot for a human to do. Pretrained convolutional neural network i.e. AlexNet is trained by using the features such as textures, colors and shape. The model is trained on more than 1000 images and can classify images into categories which we have defined. The trained model is tested on various standard and own recorded datasets consist of rotational, translated and shifted images. Thus when a image is passed to the system it will apply AlexNet and return the results with a image category in which the image lies with high accuracy. Thus our project tends to reduce time and cost of image recognition systems using deep learning. Dr. Sachin K. Korde | Manoj J. Munda | Yogesh B. Chintamani | Yasir L. Pirjade | Akshay V. Gurme "Image Classification using Deep Learning" Published in International Journal of Trend in Scientific Research and Development (ijtsrd), ISSN: 2456-6470, Volume-4 | Issue-4 , June 2020, URL: https://www.ijtsrd.com/papers/ijtsrd31653.pdf Paper Url :https://www.ijtsrd.com/computer-science/artificial-intelligence/31653/image-classification-using-deep-learning/dr-sachin-k-korde

249 views • 3 slides

Improved Airport Performance with AI Powered Video Analytics

Most industries today use intelligent AI. So why not airports? The aviation industry has been hit hard by the spread of COVID-19. Passengers are afraid to travel. Because they do not like to be exposed to the virus. This is reducing revenue. Thereby, the industry should use everything that can help reduce costs. Intelligent AI is one such solution. AI video analytics software comes cheap. But it does offer some amazing solutions.

98 views • 5 slides

More Related

AI Video Analytics | Media Analysis using Deep Learning | MulticoreWare