Video Con Fotos Y Audio De Youtube
Bernd Manison
Seleccionar una foto o video existente: toca para ver las tomas recientes y luego desliza hacia arriba para buscar o navegar por todas las fotos y lbumes. Si se seleccionan varias fotos o videos, se mostrar un nmero que indica el orden en el que se enviarn.
Si recibes varias fotos a la vez, estas se agrupan automticamente en un collage (2-3 fotos) o e una pila de fotos (ms de 4 fotos). Puedes deslizar para recorrer la pila de fotos para ver, responder o interactuar con cada foto de forma individual.
Looking for photos, videos, or audio recordings of national parks? The multimedia search lets you search by keyword, location, or file type (including photos, videos, audio, webcams, and podcasts) and filter for high-quality images. You can also visit these other sites to find additional multimedia content:
Adjusting video and audio used to be a difficult process that involved uploading content to your computer and using specialized software. Pixel makes it easier by using AI to do the hard work, letting you make complex edits on your phone with just a few taps.
Audio Magic Eraser, a new audio editing tool, will make it even easier for Paola to record her escapades in the city.3 Using Google AI, Pixel separates audio into distinct streams and identifies background noise. Then it mixes them together to enhance the sounds that you want to hear.
"It paves the way for real-time engagements with lifelike avatars that emulate human conversational behaviors," reads the abstract of the accompanying research paper titled, "VASA-1: Lifelike Audio-Driven Talking Faces Generated in Real Time." It's the work of Sicheng Xu, Guojun Chen, Yu-Xiao Guo, Jiaolong Yang, Chong Li, Zhenyu Zang, Yizhong Zhang, Xin Tong, and Baining Guo.
The VASA framework (short for "Visual Affective Skills Animator") uses machine learning to analyze a static image along with a speech audio clip. It is then able to generate a realistic video with precise facial expressions, head movements, and lip-syncing to the audio. It does not clone or simulate voices (like other Microsoft research) but relies on an existing audio input that could be specially recorded or spoken for a particular purpose.
Microsoft claims the model significantly outperforms previous speech animation methods in terms of realism, expressiveness, and efficiency. To our eyes, it does seem like an improvement over single-image animating models that have come before.
AI research efforts to animate a single photo of a person or character extend back at least a few years, but more recently, researchers have been working on automatically synchronizing a generated video to an audio track. In February, an AI model called EMO: Emote Portrait Alive from Alibaba's Institute for Intelligent Computing research group made waves with a similar approach to VASA-1 that can automatically sync an animated photo to a provided audio track (they call it "Audio2Video").
Microsoft Researchers trained VASA-1 on the VoxCeleb2 dataset created in 2018 by three researchers from the University of Oxford. That dataset contains "over 1 million utterances for 6,112 celebrities," according to the VoxCeleb2 website, extracted from videos uploaded to YouTube. VASA-1 can reportedly generate videos of 512x512 pixel resolution at up to 40 frames per second with minimal latency, which means it could potentially be used for realtime applications like video conferencing.
To show off the model, Microsoft created a VASA-1 research page featuring many sample videos of the tool in action, including people singing and speaking in sync with pre-recorded audio tracks. They show how the model can be controlled to express different moods or change its eye gaze. The examples also include some more fanciful generations, such as Mona Lisa rapping to an audio track of Anne Hathaway performing a "Paparazzi" song on Conan O'Brien.
The researchers say that, for privacy reasons, each example photo on their page was AI-generated by StyleGAN2 or DALL-E 3 (aside from the Mona Lisa). But it's obvious that the technique could equally apply to photos of real people as well, although it's likely that it will work better if a person appears similar to a celebrity present in the training dataset. Still, the researchers say that deepfaking real humans is not their intention.
"We are exploring visual affective skill generation for virtual, interactive charactors [sic], NOT impersonating any person in the real world. This is only a research demonstration and there's no product or API release plan," reads the site.
While the Microsoft researchers tout potential positive applications like enhancing educational equity, improving accessibility, and providing therapeutic companionship, the technology could also easily be misused. For example, it could allow people to fake video chats, make real people appear to say things they never actually said (especially when paired with a cloned voice track), or allow harassment from a single social media photo.
Right now, the generated video still looks imperfect in some ways, but it could be fairly convincing for some people if they did not know to expect an AI-generated animation. The researchers say they are aware of this, which is why they are not openly releasing the code that powers the model.
"We are opposed to any behavior to create misleading or harmful contents of real persons, and are interested in applying our technique for advancing forgery detection," write the researchers. "Currently, the videos generated by this method still contain identifiable artifacts, and the numerical analysis shows that there's still a gap to achieve the authenticity of real videos."
An interactive image is a digital photo, illustration or picture containing clickable buttons, links, and audiovisual content. When you hover or click on an interactive image hotspot, it triggers something to happen or appear on the screen. Think popup windows, music, text, images, sound effects, or cool animations and games that get your audience actively involved in the content.
Genially is a free alternative to ThingLink, allowing anyone to make images interactive and animated in a couple of clicks. Build your own design on a blank canvas, or browse the Template Gallery for ideas and inspiration.
Genially offers you multiple ways to add a link to an image, or make an image into a link! First up, choose which part of the image you want to add a hyperlink to. To highlight where the link is located, add an animated button, marker, icon or CTA.
For sure! In Genially you can make a JPG, GIF, SVG or PNG interactive. To make an interactive JPG, upload your image and then add interactive elements such as buttons, hyperlinks, text, video, music or animations.
Just add an image to the canvas then select an interactive pop-up window. Insert a video in the image by pasting in the video. Genially is compatible with YouTube, Vimeo and other video streaming platforms.
To add a sound file to a JPG,GIF, SVG or PNG, just upload the image to Genially. Set the audio to play on loop in the background, or add an interactive hotspot with a click trigger. Add a play button to the image to show your audience what to click on.
Genially offers you multiple ways to add audio to image files. Upload an MP3 from your device, record your own voiceover, or embed music directly into your image from Spotify, SoundCloud and other streaming platforms.
Make images clickable by adding interactive hotspots to different areas of the picture. Add popup windows, text labels, audio descriptions, close-up images ... you choose what happens when your audience clicks!
Simulate real workplace situations in an online learning environment. Combine clickable visuals with branching scenarios and gamification to design interactive training, onboarding, and health and safety materials that click with learners.
This article describes how to use the CameraCaptureUI class to capture photos or videos by using the camera UI built into Windows. This feature is easy to use. It allows your app to get a user-captured photo or video with just a few lines of code.
If you want to provide your own camera UI, or if your scenario requires more robust, low-level control of the capture operation, then you should use the MediaCapture class, and implement your own capture experience. For more information, see Basic photo, video, and audio capture with MediaCapture.
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