- published: 02 Oct 2015
- views: 13570
Video content analysis (also Video content analytics, VCA) is the capability of automatically analyzing video to detect and determine temporal and spatial events.
This technical capability is used in a wide range of domains including entertainment, health-care, retail, automotive, transport, home automation, safety and security. The algorithms can be implemented as software on general purpose machines, or as hardware in specialized video processing units.
Many different functionalities can be implemented in VCA. Video Motion Detection is one of the simpler forms where motion is detected with regard to a fixed background scene. More advanced functionalities include video tracking and egomotion estimation.
Based on the internal representation that VCA generates in the machine, it is possible to build other functionalities, such as identification, behavior analysis or other forms of situation awareness.
VCA relies on good input video, so it is often combined with video enhancement technologies such as video denoising, image stabilization, unsharp masking and super-resolution.
Video is an electronic medium for the recording, copying, playback, broadcasting, and display of moving visual media.
Video systems vary greatly in the resolution of the display, how they are refreshed, and the rate of refreshed, and 3D video systems exist. They can also be carried on a variety of media, including radio broadcast, tapes, DVDs, computer files etc.
Video technology was first developed for Mechanical television systems, which were quickly replaced by cathode ray tube (CRT) television systems, but several new technologies for video display devices have since been invented. Charles Ginsburg led an Ampex research team developing one of the first practical video tape recorder (VTR). In 1951 the first video tape recorder captured live images from television cameras by converting the camera's electrical impulses and saving the information onto magnetic video tape.
Video recorders were sold for $50,000 in 1956, and videotapes cost $300 per one-hour reel. However, prices gradually dropped over the years; in 1971, Sony began selling videocassette recorder (VCR) decks and tapes to the public.
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Turn video images into public safety insights. IBM Intelligent Video Analytics cuts through the vast linear process of video monitoring by converting video images to data – data that can be filtered and analyzed - delivering insight into what is happening on both live and recorded video. By focusing attention on real-time events of interest and reducing forensic search times from weeks to hours or even minutes, IBM Intelligent Video Analytics makes video a far more effective tool for public safety and law enforcement. This video provides an overview of the solution. Learn more about IBM Intelligent Video Analytics: https://www.ibm.com/marketplace/cloud/video-analytics-for-security/ Learn more about Law Enforcement Solutions: http://ibm.co/crimeinvestigation Learn more about Emergency Ma...
Presentation of Observision Video Analytics software to create intelligent video systems for live cctv viewing and retrospective search for specific objects and behaviours. http://www.clearview-communications.com/cctv/facial-recognition-video-analytics
We are pleased to present the second installment of ALERT 101. This segment's topic is Video Analytics. ALERT researchers Richard Radke, Octavia Camps, and Venkatesh Saligrama explain what it is, how it's used, and how they teach computers how to see and learn. ALERT 101 are video shorts featuring different technologies and research areas that the ALERT Center engages in. We hope that these productions help educate and inform the global community on these topics in an accessible and enjoyable way. ALERT http://www.neu.edu/alert ALERT (Awareness and Localization of Explosives-Related Threats) is a multi-university Department of Homeland Security Center of Excellence (COE). ALERT seeks to conduct transformational research, develop technology, and provide educational development to im...
Avigilon Self-learning Video Analytics brings a focus of attention to the right incident at the right time. Avigilon self-learning video analytics extend the effectiveness of your security personnel by providing effective monitoring and enabling proactive, real-time response from your team. Through the use of high-definition video analytics, pattern-based analytics algorithms and teach-by-example capabilities, Avigilon gives you a comprehensive video monitoring and incident response solution. Connect with Avigilon! Twitter: https://twitter.com/avigilon LinkedIn: https://www.linkedin.com/company/797614 Facebook: https://www.facebook.com/avigiloncorporation
Aventura's Intelligent Video Analytics software has been designed to operate with both indoor and outdoor cameras, detecting a wide range of surveillance situations involving people, vehicles and other objects. A comprehensive range of detection filters provide the means to discriminate the object behaviors appropriate to each surveillance scene, meaning that classification is always accurate. Easy to set up, Aventura's Video Analytics Software automatically adjusts to the conditions it encounters, meaning that it is ideal for both experienced and untrained personnel to use, and can even be used within the home. This contrasts greatly with alternative software setups, which can have as many as 100 algorithm setup parameters just to adjust filters and adjust to lighting conditions. With fac...
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Presented by • Dr. John R. Smith, Sr. Mgr. - Intelligent Information Management Dept., Watson Research Center Overview - This webcast covers the methods related to image and video analysis, including edge, object, and motion detection. In this webcast, Dr. Smith will cover the following discussion points: • Motivation Video Analytics Diagnostic Support Layer Video Analytics • Semantics • Massive-Scale • Systems • Future
Nokia’s Video Analytics solution for Smart Cities shows how to boost video surveillance and how Nokia can concretely deliver IoT to clients – both enterprise and operators.
The growing demand for more detail and the increasing number of network cameras has consequences. Skyrocketing amounts of data need to be viewed when looking for evidence or monitoring live. Bosch video analytics at the edge helps keep data manageable. It adds metadata to add sense and structure to your video footage at the point of capture. This enables you to stream only what’s relevant, retrieve evidence quickly and simply, and trigger alarms when needed. This eliminates the need to process hours of video data, making it easier to manage than ever before. To tailor your solution to your exact needs, Bosch offers two different types of video analytics: Essential Video Analytics and Intelligent Video Analytics.
A video showcase of our various video analytics capabilities.
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http://avigilon.com/products/video-analytics/video-analytics/ Video analytics have once again become a salient and important technology for many end users. The technology has not only become more refined, but more people understand the limitations of what it exactly can and cannot do. You will learn: • How video analytics are being leveraged for practical purposes in several vertical markets • How they’re finally starting to deliver on that long-promised ROI More Recorded webinars: https://www.youtube.com/playlist?list=PLSYdGZMcqFu6xEy8yvrxv-rSF4mdNFxO6 Connect with Avigilon! Twitter: https://twitter.com/avigilon LinkedIn: https://www.linkedin.com/company/797614 Facebook: https://www.facebook.com/avigiloncorporation Find out more about Avigilon http://avigilon.com/
Cameras are becoming increasingly ubiquitous. They are deployed for a wide variety of commercial & surveillance purposes by private enterprises and governments. Collectively analyzing videos produced by cameras (e.g., city-wide or enterprise-wide or in a datacenter) is a grand research challenge with great commercial importance. Large scale video analytics – on real-time videos and off stored videos – represents an exciting frontier for big data systems and networks. What should large-scale video analytics systems look like? What are the challenges and opportunities for vision algorithms at scale? What are the privacy implications of video analyses? Join us for a lively session to brainstorm and learn about video analytics.
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In this interview we talk about 3 main reason you should be using analytics with your marketing videos.
Presented by • Dr. John R. Smith, Sr. Mgr. - Intelligent Information Management Dept., Watson Research Center Overview - This webcast covers the methods related to image and video analysis, including edge, object, and motion detection. In this webcast, Dr. Smith will cover the following discussion points: • Motivation Video Analytics Diagnostic Support Layer Video Analytics • Semantics • Massive-Scale • Systems • Future
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I managed to pass the Google Analytics Exam. I hope this helps others.