Average Ratings 0 Ratings
Average Ratings 1 Rating
Description
Jockey serves as a comprehensive video intelligence tool that analyzes a variety of videos and images, transforming unprocessed media into searchable, queryable, and organized content that users can manipulate through natural language commands. By automatically handling various visual, audio, motion, speech, text, and contextual inputs, it eliminates the need for users to specify different modalities. Teams can inquire about a wide range of elements, including individuals, locations, objects, logos, quotes, scenes, actions, topics, sentiments, or specific moments, and will receive prioritized results linked to precise timestamps. Additionally, Jockey is capable of identifying overarching themes and trends across a knowledge repository, providing explanations for result matches, extracting relevant entities, categorizing different types of content, tracking subjects through various videos, reconstructing timelines, and creating highlight reels from matching moments. The platform supports multi-turn interactions that maintain conversational context for subsequent requests, and it offers structured outputs that deliver timestamped, machine-readable metadata in accordance with a specified JSON format. Ultimately, Jockey empowers users to derive meaningful insights from their media collections efficiently and effectively.
Description
VisualSFM is a user-friendly application designed for creating 3D models through a process known as structure from motion (SFM). This reconstruction software combines elements from several earlier projects I have worked on, including SIFT on GPU (SiftGPU), Multicore Bundle Adjustment, and Towards Linear-time Incremental Structure from Motion. By leveraging multicore parallel processing, VisualSFM enhances speed and efficiency in tasks such as feature detection, feature matching, and bundle adjustment. Additionally, for dense reconstruction, it seamlessly incorporates Yasutaka Furukawa's PMVS/CMVS tool chain, allowing for improved results in the final output. This integration of various tools and techniques makes VisualSFM a powerful resource for those engaged in 3D reconstruction projects.
API Access
Has API
Yes
API Access
Has API
No
Integrations
ChatGPT
Yes
Claude
Yes
JSON
Yes
Model Context Protocol (MCP)
Yes
TwelveLabs
Yes
Integrations
ChatGPT
No
Claude
No
JSON
No
Model Context Protocol (MCP)
No
TwelveLabs
No
Pricing Details
$20 per month
Free Trial
No
Free Version
Yes
Pricing Details
No price information available.
Free Trial
No
Free Version
No
Deployment
Web-Based
Yes
On-Premises
No
iPhone App
No
iPad App
No
Android App
No
Windows
No
Mac
No
Linux
No
Chromebook
No
Deployment
Web-Based
No
On-Premises
No
iPhone App
No
iPad App
No
Android App
No
Windows
Yes
Mac
Yes
Linux
Yes
Chromebook
No
Customer Support
Business Hours
No
Live Rep (24/7)
No
Online Support
Yes
Customer Support
Business Hours
No
Live Rep (24/7)
No
Online Support
Yes
Types of Training
Training Docs
Yes
Webinars
No
Live Training (Online)
Yes
In Person
No
Types of Training
Training Docs
Yes
Webinars
No
Live Training (Online)
No
In Person
No
Vendor Details
Company Name
TwelveLabs
Founded
2021
Country
United States
Website
www.twelvelabs.io/jockey
Vendor Details
Company Name
VisualSFM
Website
ccwu.me/vsfm/