Search Videos and Images with AI
Science & Technology
Introduction
Searching through vast amounts of video and audio content has never been easier, thanks to advancements in generative AI. One of the standout tools in this domain is Pixels, which offers pinpoint accuracy for locating specific items or themes within multimedia files. Let's explore how this innovative tool works.
Finding Objects: A Simple Search for Cheesecake
We can start our journey with something straightforward: searching for an object. By entering the term "cheesecake," Pixels is able to return the best possible matches for our query. The user interface allows you to see visually and audibly where "cheesecake" appears throughout the video. This includes highlighting moments in the video where the object is featured and the corresponding dialogue from characters talking about it. Moreover, users have the option to download this content for downstream workflows.
Searching for Actions: A Little More Complex
After successfully finding an object, we can try searching for a more complex action. For instance, by using the phrase "smoking a cigarette," Pixels again delivers exactly what we are looking for. The system highlights both visual and audio cues within the scenes—showcasing its technology's accuracy and precision in identifying various elements of the videos.
Filtering Search Results
Additionally, Pixels offers a robust way to filter search results by media type, actor, character, and more. For example, if we want to find scenes featuring Ross looking angry, we can easily set that filter and see impressive, yet somewhat eerie results.
Facial Recognition: A Deeper Dive
Another powerful feature of Pixels is its facial recognition capabilities. Users can upload an unrelated image, such as a recent photo of a friend, and Pixels will locate similar headshot-style images from its database. The facial recognition technology works effectively, even if the image of choice shows the person at a different age or with different hair color.
Customizing Your Experience
Pixels operates on the elastic pixels accelerator, which is expertly engineered and customizable to fit any Google Cloud Platform (GCP) environment. It can be rapidly deployed as a production-ready proof of concept in just four weeks and effortlessly scales while leveraging various Google Cloud services.
If you are interested in getting started or would like to know more about Elastic Pixels, you can reach out for more information at High Elastic.
Keywords
- Generative AI
- Pixels
- Multimedia search
- Cheesecake
- Facial recognition
- Video and audio cues
- Filtering search
- Google Cloud Platform
FAQ
Q1: What is Pixels?
A1: Pixels is a generative AI tool that allows users to search through video and audio content with pinpoint accuracy.
Q2: Can I search for specific objects in videos?
A2: Yes, you can easily search for specific objects, like "cheesecake," and get highlighted results in both visual and audio formats.
Q3: Is it possible to filter search results in Pixels?
A3: Yes, you can filter search results by criteria such as media type, actor, character, and more.
Q4: How does facial recognition work in Pixels?
A4: Users can upload an unrelated image, and Pixels will utilize its facial recognition technology to find similar images within its database.
Q5: How quickly can Pixels be implemented in a GCP environment?
A5: Pixels can be rolled out as a production-ready proof of concept within four weeks.