
3Q is an API-first video infrastructure for developers and engineering teams who want direct control over their media backend. A REST video API and native player SDKs give you programmatic access to hosting, ingestion, encoding, live streaming, video-on-demand, and delivery, so you can build video portals, streaming apps, or OTT backends on a single European platform.
The stack is transparent by design. 3Q supports adaptive bitrate streaming over HLS and DASH with mixed HEVC and AVC codecs and automatic Live-to-VoD. Delivery runs over a proprietary global CDN, encryption, and HTTP/2 over TLS 1.3. The Cookie- and Consent-free HTML5 Video Player is barrier-free in accordance with WCAG 2.1/BITV 2.0 and needs no consent layer. Video AI exposes speech-to-text transcription, automatic subtitles, translation, and chapter markers through the same API, and integration fits your existing pipeline and video workflows.
What sets 3Q apart is ownership. 3Q runs on its own independent European video infrastructure, so your data stays in the EU and under German jurisdiction. 3Q is GDPR-compliant and all processes are ISO/IEC 27001 certified, with modular pay-as-you-go pricing and 24/7 support from real video experts.
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You can watch videos from anywhere, anytime, even offline. It's easy to download: simply copy the link from your browser, and then click 'Paste Link" in the application. You can save full playlists and channels on YouTube in high-quality and other video or audio formats. Download your YouTube Mix, Watch Later and Liked videos as well as private YouTube playlists. Receive new videos from your favorite YouTube channels automatically. You can feel the action around you with virtual reality videos. To experience the amazing VR experience in 360deg, download 360deg videos. You can bypass any restrictions placed by your Internet service provider to bypass your school firewall or workplace firewall. To access YouTube and other sites, set up an in-app proxy connection.
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Google Cloud Vision AI
Harness the power of AutoML Vision or leverage pre-trained Vision API models to extract meaningful insights from images stored in the cloud or at the network's edge, allowing for emotion detection, text interpretation, and much more. Google Cloud presents two advanced computer vision solutions that utilize machine learning to provide top-notch prediction accuracy for image analysis. You can streamline the creation of bespoke machine learning models by simply uploading your images, using AutoML Vision's intuitive graphical interface to train these models, and fine-tuning them for optimal performance in terms of accuracy, latency, and size. Once perfected, these models can be seamlessly exported for use in cloud applications or on various edge devices. Additionally, Google Cloud’s Vision API grants access to robust pre-trained machine learning models via REST and RPC APIs. You can easily assign labels to images, categorize them into millions of pre-existing classifications, identify objects and faces, interpret both printed and handwritten text, and enhance your image catalog with rich metadata for deeper insights. This combination of tools not only simplifies the image analysis process but also empowers businesses to make data-driven decisions more effectively.
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Gorilla IVAR
Video Analytics encompass a range of processes that leverage AI algorithms and metadata to analyze video content for the purpose of identifying patterns or recognizing specific objects. Once the video data has been analyzed, it can be queried and searched to extract various specific results, and this technology is often referred to as IVAs, or Intelligent Video Analytics. Many government agencies are increasingly adopting AI-driven video systems to effectively monitor traffic flow and alleviate congestion. The rapid integration of facial recognition technologies is also enhancing video-based data analytics, improving face matching capabilities for a variety of applications. Moreover, the automation of video surveillance processes through software offers significant cost-saving advantages for users. Video analytic software functions by deconstructing video signals into individual frames for further analysis. Gaining a solid understanding of digital video and its underlying mechanisms is not only intriguing but also essential before delving into subsequent steps in this field. This foundational knowledge sets the stage for exploring more advanced applications and innovations related to video analytics.
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