IDenTV Overview 2019
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www.identv.com IDenTV provides AI capabilities to create multimedia/video analytics based on over 30+ advanced AI/computer vision classifiers, Natural Language Processing, NLU and Human Language Technologies including Automated Speech Recognition, Machine Translation and advanced cognitive text analysis. IDenTV is a pioneer in Automatic Content Recognition (ACR) built on real-time scalable video processing, generating rich metadata extracted utilizing Artificial Intelligence (AI) classifiers for multimedia analytics. Processing any dataset(s) from Videos, Images, Audio files, or text files compiled from a variety of sources, whether it be from high-end sensors, TV, web, digital video/images, user generated content, telephony (customer service/call centers and lawful intercepts) as well as any document type/source. IDenTV is uniquely capable of unifying various AI classifiers, in an easy to use web interface with powerful cloud or on-premise processing capabilities, extracting key insights and provide actionable cognitive summarization and alerts to our end users. A forerunner in applied AI/ML technologies, IDenTV's solutions are in use by both the commercial and federal sectors. IDenTV’s talented team of PhD scientists and engineers are led by serial entrepreneurs with a proven track record of growth and successful exits.
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IDenTV Overview 2019
- 2. Who We Are IDenTV provides AI capabilities to create multimedia/video analytics based on advanced computer vision classifiers, NLP and HLT. IDenTV is a pioneer in Automatic Content Recognition (ACR) built on real-time scalable video processing, generating video rich metadata extraction, based on Artificial Intelligence (AI) classifiers for multimedia analytics. IDenTV’s talented team of PhD scientists and engineers are led by serial entrepreneurs with a proven track record of growth and successful exits.
- 3. The Video Analytics market with Market size expected to grow from $858 million to $2.9 Billion in the United States alone by 2022. Revenues from the artificial intelligence for enterprise applications market (worldwide) are expected to grow from $357 Million in 2016 to $31.2 Billion in 2025. By 2021, over 80% of internet traffic will be video. With little to no methods in place to extract understanding or to retrieve actionable insights and/or properly manage and monetize, humans cannot adequately keep up in monitoring the vast amounts of audio and visual data that floods the airwaves and internet daily. In the Media & Entertainment industry, that means monetization opportunities are lost in the seemingly endless stream of video uploads / content. In the Defense sector known and potential threats will go undetected using antiquated manual human intensive workflows on an ever-growing repository of data. Big Data is the New Oil Market
- 4. Video Frames Fingerprinting; Audio Fingerprinting; Real-Time Index and Search; Millions of Comparisons Per Second Product: Vader Core Technology Automatic Content Recognition Computer Vision Automatic Speech Recognition Machine Translation Advanced Text Analysis Cognitive Summarization
- 5. 20+ classifiers including object detection, facial recognition, brands, logos, demographic, etc. Product(s): Video Juicer, WHAi Core Technology Automatic Content Recognition Computer Vision Automatic Speech Recognition Machine Translation Advanced Text Analysis Cognitive Summarization
- 6. 15 Languages, Real-Time BCN, Mobile Devices, UGC, Telephony/Call Centers, World leading quality and accuracy levels, Audio/Dialect Language ID Product(s) : Omnimonitor, Video Juicer Core Technology Automatic Content Recognition Computer Vision Automatic Speech Recognition Machine Translation Advanced Text Analysis Arabic (BCN, Tel, Mobile) Brazilian Portuguese (BCN, Mobile) Chinese (BCN, Tel, Mobile) Dari (BCN, Mobile) English (BCN, Tel, Mobile) French (BCN, Tel, Mobile) German (BCN, Tel, Mobile) Italian (BCN, Mobile) Korean (BCN, Mobile) Pashto (BCN, Mobile) Persian/Farsi (BCN, Tel, Mobile) Russian (BCN, Mobile) Spanish (BCN, Tel, Mobile) Turkish (BCN, Mobile) Urdu (BCN, Mobile) Cognitive Summarization
- 7. 27 Languages, Thousands of words per second, World leading quality and accuracy levels, Text Language ID in 80 languages. Product: Omnimonitor Core Technology Automatic Content Recognition Computer Vision Automatic Speech Recognition Machine Translation Advanced Text Analysis Arabic Bulgarian Chinese Croatian Czech Danish Dutch English Korean Latvian Lithuanian Maltese Pashto Persian/Farsi Polish Portuguese Estonian Finnish French German Greek Hungarian Japanese Italian Romanian Russian Slovak Slovenian Spanish Swedish Ukrainian Cognitive Summarization
- 8. Sentiment, Name/Entity Extraction, Co- Reference Resolution, Relationship Mapping, Threat Detection, Illicit Material Product(s) : WHAi Core Technology Automatic Content Recognition Computer Vision Automatic Speech Recognition Machine Translation Advanced Text Analysis Cognitive Summarization
- 9. Multi-Source/Input Cognitive Summarization of Key Insight and Sources Product(s) : WHAi Core Technology Automatic Content Recognition Computer Vision Automatic Speech Recognition Machine Translation Advanced Text Analysis Cognitive Summarization
- 10. Core Technology – Sample AI Classifiers ACTION RECOGNITION ACTIVITY DETECTION ACTIVITY W/ OBJECT INTERACTION AERIAL COLOR IDENTIFICATION AERIAL COLOR IDENTIFICATION AGE CLASSIFIER BRANDS & LOGO RECOGNITION CLOSED CAPTION EXTRACTION COGNITIVE ALERTS CONCEPT CLASSIFIER COPYRIGHT DETECTION EMOTION CLASSIFIER EO & IR OBJECT RECOGNITION EXTREMIST IDENTIFICATION FACIAL RECOGNITION CLASSIFIER FIXED SENSOR OBJECT CLASSIFIER VIDEO OCR VEHICLE IDENTIFICATION UNIQUE ID (AERIAL OBJECTS) SPEECH TO TEXT (ASR) SHOOTER/TERRORIST DETECTION SIMILAR VIDEO/IMAGE SEARCH SCENE DETECTOR POINT OF INTEREST CLASSIFIER PHOTOGENIC DETECTOR OBJECT DETECTION NUDITY DETECTION KNIFE/GUN DETECTION GORE CLASSIFICATION GENDER CLASSIFIER
- 11. Unified Solution – Unparalleled Breadth & Deep Understanding
- 12. Products Advanced Media Monitoring Vader, Omni-Monitor, Closed Captioning AI Powered Video Analytics VideoJuicer UI, APIs/WebHooks, Commercial M&E/Defense Apps Content Intelligence WHAi integrates above solutions with text, speech and image analytics as core technology generating consolidated analytics TV, Online Media, Social Media, Documents, Telephony, User Generated Content, Sensors, CCTV, Still Imagery & More Live/Real-Time, Batch, Archival Analysis MEDIUM TYPES: PROCESSING METHODS:
- 13. Generating multiple additional layers (30+) of rich contextual metadata for deep comprehensive understanding of multimedia content: Technology/Product Benefits – Media & Entertainment - Enhance lifecycle from production to archive - Repurpose content through search and discovery - Enhance targeting and engagement - Generate dynamic advertising triggers based on context - Improve brand safety and manage client reputation - Content moderation - Enhance existing recommendation engines and product placement - Employ play-out verification and royalty tracking - Copyright protection and rights management - Gain significant improvement on content ROI - Live CC, Automated Speech Recognition, Transcription & Translation - Automated Illicit Content recognition - Sentiment, Name/entity, relationship Tracking, Fake news ID, - Multi-source input cognitive summarization, key insight extraction and more
- 14. Generating multiple additional layers (30+) of rich contextual metadata for deep comprehensive understanding of multimedia content: Technology/Product Benefits - Defense/Security - Multi-sensor full motion video (FMV) live/batch/offline processing & management - Robust UI enables operators to leverage AI models to enhance situational awareness - The Video Juicer supports various sensor types (including EO and IR Video) - Create & merge rich metadata associated with each video feed or file with KLV and other sensor information. - Enhance searchability, discovery, and exploitation - Real-time cognitive alerts based on user / enterprise specifications - API for integration with C2 & C4ISR Systems - Textual analysis and understanding via Speech, MT and A.I. classifiers - User/Enterprise custom ontologies for augmenting or creating custom models
- 15. • USG / DoD • Armed Forces • Department of Homeland Security • Department of State • Municipality / Law Enforcement Market Verticals • Media Agencies • Brands • Telcos • News Agencies Media & Entertainment Defense/Security: • Broadcasters • TV Networks • Attribution / Analytics Companies • SVOD/OTT Providers • Private Security • Sensor Manufacturers • IP Cameras • Video Management Systems • System Integrators • Smart City Applications • Event Security Other: • FinTech, Financial Analysts, Hedge Funds, Quantitative Analysis Firms • Recommendation & Risk Analysis
- 16. Our TeamMohammad Shihadah Founder & CEO Mohammad has over 35 years of experience in private and public company management for technology companies. He is the former Co-CEO of Applications Technology, Inc. (AppTek), which he co-founded in 1990 for the development of Machine Translation and Automatic Speech Recognition. He is also the founder and current board member at Ignite Media Solutions, board member at Net2Voice, and an observer on BOD at Pixelligent. Bob Milani Chief Technical Officer Mr. Milani is the CTO at IDenTV. Mr. Milani has more than 25 years of experience in software development and design. He has been a software engineer at multiple technology companies, including the Senior Architect at Hewlett-Packard.. Mr. Milani’s technical experience includes enterprise web development, entertainment/TV, mobile application development, distributed computing, VOIP, and security applications. Dr. Mark Hughes Chief Scientist & Director of AI/ML Mark has over 12 years of experience in image and video search technologies. A former University Lecturer in machine learning and computer vision, he was an expert reviewer for the US National Institute of Standards in Technology (NIST) in the areas of image and video search. Formerly, Dr. Hughes was a Research Scientist at IBM Watson Research, leading the deep learning research team on IBM’s Cognitive Care platform. Dr. Hughes was also the Director of Machine Learning at United Healthcare. He holds a PhD in Computer Vision & Machine Learning and has published dozens of papers, publications and journal articles in computer vision, machine learning and more recently deep learning. Amro Shihadah Chief Operating Officer Strong background in Finance and Accounting (Mergers & Acquisitions, SEC Reporting), Amro has also been surrounded by start-up companies and technologies while still finishing his studies at American University. From the exposure to various companies he then shifted his focus into establishing IDenTV with lean operations and brought a focus of bringing emerging technologies from concept to to market. Amro Shihadah will be attending the 2nd ranked Executive MBA program at Northwestern University's Kellogg School of Management this winter. Dr. Jogile Kuyte Computer Vision & Machine Learning Dr Kuklyte has over 5 years of experience in multi-sensor data and machine learning technologies. She also has teaching experience in software development and engineering. Dr. Kuklyte’s doctoral dissertation was in the area of multi-modal sensor technologies. Her current research focus is on visual data analytics, machine learning and artificial intelligence. Dr. Amin Ahmadi Machine Learning Engineer Amin received his PhD degree from Griffith University, Brisbane, Australia in 2010. His research was highlighted as a feature in the New Scientist and appeared on the BBC and ABC TV and radio channels. He also won the Australian prestigious Minister Excellence Award for Innovation and Creativity. He carried out his postdoctoral program before promoting to a research fellow at Insight Center for Data Analytics in Dublin, Ireland. He then worked as a senior data scientist and ML engineer at United Health Group prior to joining IDenTV. Dr. Rami Albatal Computer Vision & Sr. Data Scientist Rami has over 10 years of experience in Machine Learning, Multimedia Indexing, Predictive Analytics, NLP and Information Retrieval, with advanced experience in Big Data and Artificial Intelligence frameworks. Nikki Manquindang Federal Programs Manager Nikki has over 8 years experience in project management and as a project engineer supporting technical projects both within the U.S. government and the private sector. Mrs. Maquindang also served in the United States Air Force and as a government contractor for a combination of 15 years specializing in tactical C4ISR data transmission and analysis.
- 17. Product Demonstrations Vader (demo) Omni-Monitor Video Juicer (demo) WHAi