● Covered by 1 source · 1 reportMedium impact1 neutral
TwelveLabs Pegasus 1.5 Video Language Model Now Available on Amazon Bedrock
Key points
- Pegasus 1.5 is a video language model from TwelveLabs.
- It is now available on Amazon Bedrock.
- Analyzes videos up to two hours long for structured metadata.
- Features multimodal prompting and on-the-fly processing.
TwelveLabs Pegasus 1.5 on Amazon Bedrock
TwelveLabs' Pegasus 1.5 is now available on Amazon Bedrock. This video language model processes long-form video content to produce structured, timestamped metadata. Users can define specific moments or criteria, and the model returns matching video segments in JSON format.
Addressing Unstructured Video Data
Video content often remains unsearchable and underutilized due to its unstructured nature. Pegasus 1.5 aims to address this by automating the extraction of actionable insights, a process that previously required manual review or fragmented toolchains. This allows for more efficient analysis and retrieval of information from video.
Key Enhancements in Pegasus 1.5
Pegasus 1.5 introduces several new capabilities. It analyzes entire videos to find segments matching user-defined criteria, returning structured, timestamped metadata. New features include video segmentation, multimodal prompting with reference images, and on-the-fly processing. The model can now analyze videos up to two hours long, an increase from the one-hour limit in Pegasus 1.2.
Integration with AWS Services
With Pegasus 1.5 on Amazon Bedrock, users can analyze videos directly from an Amazon S3 URI or a base64 string without pre-indexing. Data processing occurs within the AWS data boundary, ensuring data residency. This integration simplifies the workflow for AWS users.
✨ This summary was generated by AI from the outlets' reporting listed below. It is not independently verified and may contain errors — check the original sources. How BrevFeed works →
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Reporting from
TwelveLabs' Pegasus 1.5, a video language model, is now available on Amazon Bedrock. This update allows for the analysis of long-form video to generate structured, timestamped metadata, enabling better searchability and utilization of video content.