Loading…
Topic
Video
11 posts about Video. Every summary links to the original.
- 11 posts
- 9 companies
The Good Stuff
Paid picks we use ourselves. Links carry a referral code — a subscription through one earns us a commission at no extra cost to you.
Newest first
Posts
Twilio Video Media SDK Powers Smarter Customer Engagement
Twilio launched the Twilio Video Media SDK in Public Beta, a server-side software package that connects applications to a Twilio Video Room as a secure virtual participant, streaming real-time audio and video to backend systems. This launch supports AI-enabled customer engagement by allowing teams to use consistent AI logic across chat, voice, and video channels while keeping sensitive data secure. The SDK enables use cases such as multimodal AI assistants that see and hear users, ambient healthcare documentation, remote verification with computer vision, and server-side compliance checks. By routing individual media tracks to a secure backend, the SDK supports HIPAA and GDPR requirements without client-side rendering. Early adopter GLOBO Language Solutions uses the SDK to enhance real-time quality and AI integration for patient care in healthcare environments.
Empire Selling's Dan Swift on leveraging social media for sales
Dan Swift, CEO of Empire Selling, explains that cold calling is nearly obsolete and that successful sales prospecting now relies on social media and live chat to build relationships. He launched LinkedIn’s social selling business and later led sales at Sprinklr before founding Empire Selling, which trains B2B companies in digital and social selling techniques. Swift advises being transparent with employers about side businesses and using that time to test content and market viability before going full-time. He recommends using The Challenger Sale methodology to challenge traditional industries like financial services, and stresses the need for a common sales language and strong culture when scaling. Swift emphasizes optimizing LinkedIn profiles to appear as trusted advisors, connecting with everyone in the organization, using Twitter as a research tool, and exploring video as an emerging channel with rich analytics.
Synthesia CEO Victor Riparbelli on how generative AI is transforming video
Synthesia CEO Victor Riparbelli explains how generative AI is revolutionizing video production by allowing users to create videos from text without cameras, studios, or actors. The platform, founded in 2017, now serves enterprise customers for training and internal communications, converting text or PowerPoint into editable AI videos. Riparbelli predicts that within the next year, AI avatars will become virtually indistinguishable from real footage, and video may transform into interactive live streams. He notes that Synthesia’s target audience is not professional video producers but the vast number of people who lack resources to make video content. On regulation, he argues for focusing on outcomes rather than limiting the models themselves, given the potential for misuse.
Welcoming Julia Zettel, our new Video Producer
Resend announces that Julia Zettel has joined its team as a Video Producer, bringing more than a decade of experience in video and storytelling from work with brands including Zee.Dog and Globo. She will help the company communicate with customers, produce original content, and tell stories beyond the product through video, education, launches, and the people building with Resend. Julia says her background grew from being surrounded by television and music production, while her studies in Social Communication and AV led her toward narrative-driven visual work; she initially collaborated with Resend on editing, then a full producing and filming project before joining full time. She cites Adobe Premiere as her primary tool, Adobe Podcast for noisy or windy recordings, and recommends accepting challenging projects and learning from experienced people alongside online tutorials and AI.
Putting Captions to the Test: Evaluating Video Caption Quality through Multiple-Choice Question Answering
Evaluating video captions is difficult because reference-matching metrics can penalize valid descriptions that use different wording or focus on different visual content, while offering little fine-grained diagnosis. The paper reframes quality around information fidelity: captions should cover salient visual information and remain factually accurate. It introduces CapQuiz, a reference-free benchmark that tests caption utility through human-verified, fine-grained multiple-choice questions derived from videos, organized into 10 Descriptive and Inferential question types across 24 domains. It also proposes CapF1, which combines CapP for factuality with CapR for coverage; extensive experiments report significantly stronger correlation with human judgments than existing metrics and interpretable insight into model performance.
Application Metrics caught my broken size estimator
Cliparr’s video size estimator was intended to predict output size from target bitrate multiplied by clip duration, but real-world results could vary because its VBR encoder changes bitrate with content. Rather than manually testing a matrix of formats, codecs, and quality settings, the author extracted the browser-based export engine into Cliparr Convert, a standalone static converter, and instrumented it with anonymous Sentry Application Metrics. Completed conversions record actual and estimated bytes, their ratio and delta, plus attributes such as output format, quality, and estimator basis; counters also track conversion completion and the progressive web app installation funnel. The resulting dashboard exposed an estimate that was off by 83% and supports grouping real usage by conversion conditions, while sending only numeric metrics and not media, filenames, or URLs.
Validating Bounding Box Annotations
Video bounding-box annotations can contain ID swaps and position jumps that degrade training data for object-tracking models, especially when long videos are split among annotators and later merged. Uber's system runs in uLabel, combining visual, motion, and coordinate features from an 11-frame sliding window with an XGBoost classifier trained on synthetic anomalies from six open-source datasets. It scores each frame for error probability, then groups predictions with frame-index and confidence clustering into regions that operators can review, fix, or dismiss. The current iteration prioritizes jump and ID-swap detection, while freeze and scale/aspect errors remain planned for future releases; the deployed workflow is intended to reduce the cost and time of sequential edit-review while processing client data statelessly without retaining it or using it to train models.
Introducing a New Way to Use Generative AI for Social Selling
eBay has introduced a generative AI video tool that turns product listing images into short-form videos for social sharing, extending its earlier social caption generator. The tool creates professional-quality video content from existing images, lets sellers choose templates and platforms, and supports direct sharing to YouTube and TikTok. Sellers access it while creating a social post in Seller Hub by selecting Marketing, Social, Create Post, Video Post, a preferred platform, and Create a video with photos before choosing a template. It is currently available to US sellers and requires no video editing skills, extra equipment, or hours of work. eBay says it plans to expand the tool to additional platforms, while positioning video as a way to increase visibility, engage buyers, and build brand presence.
Friday, 4 PM: Best Time to Post on YouTube
The guide examines whether publishing time affects YouTube performance, while arguing that content quality, channel consistency, and audience preferences matter more than any universal schedule. It explains that early views, comments, and shares provide feedback to YouTube’s recommendation system, which can then surface videos to followers and other viewers on the home page and in suggested videos. General patterns favor afternoons and evenings, with Friday at about 4 p.m. identified as the strongest broad slot, although day-by-day windows vary and evergreen tutorials may benefit more from search-oriented titles and descriptions. The recommended workflow uses YouTube Studio Analytics and the “When your viewers are on YouTube” heatmap to select candidate times, then checks later engagement to see whether those patterns hold.
How eBay’s AI Tools Helped This Seller ‘Work Smarter, Not Harder’
Ashley Moulder, who runs Millennial Mouse, sells pre-loved and vintage fashion on eBay and uses the marketplace’s AI tools to streamline her workflow. After starting online sales for extra income in 2018, she reached full-time selling by the following April and now maintains thousands of active listings, with an emphasis on non-traditional sizes. One regular time-saver is eBay’s background removal tool, which can replace product-photo backgrounds with a clean white backdrop or AI-generated alternatives. Moulder also shares selling tips and how-to videos on Instagram, aiming to help other sellers succeed, and demonstrates the photo tool in the video referenced by the source.
Mux, Fly, Wocket and RTMP
Wocket is a proof-of-concept application for sending live video from a browser to an RTMP server, potentially avoiding a local encoder such as OBS or Ecamm Live. Built with Next.js and a custom WebSocket server, it captures webcam video, renders it onto a canvas, and uses ffmpeg to support streaming to a Mux live stream through an RTMP ingest URL. The post documents local setup with npm, production commands, and deployment to Fly.io via flyctl and a Dockerfile, while noting that ffmpeg must be available on the PATH. The intended integration uses the MediaRecorder API to send video when dataavailable fires. Mux test streams are limited to five minutes, watermarked, and deleted after 24 hours when no credit card is entered, and the author cautions against relying on the demo for important production workloads.
Related topics
All topics →Weekly digest
The best engineering reads, once a week.