Building Systems to Analyze Large Scale Multimedia Collections.
Overview
Derive Meaningful Outcomes from Your Multimedia Repository
Multimedia forms an integral part of all digital products built today. As the size and complexity of media collections increase, building scalable products and harvesting helpful information becomes a top priority for product differentiation.
At GS Lab, we help product companies build large scalable multimedia collection systems and analyze them to drive useful information for various use cases, including communications, security, healthcare, forensic, people analytics, marketing, and social media industry.
Overview
Derive Meaningful Outcomes from Your Multimedia Repository
Multimedia forms an integral part of all digital products built today. As the size and complexity of media collections increase, building scalable products and harvesting helpful information becomes a top priority for product differentiation.
At GS Lab, we help product companies build large scalable multimedia collection systems and analyze them to drive useful information for various use cases, including communications, security, healthcare, forensic, people analytics, marketing, and social media industry.
Our teams have deep expertise across digital signal processing, video streaming protocols, streaming frameworks, visual analytics, image analytics, video analytics, and AI/ML tools and techniques. In addition, our R&D-driven mindset helps us engineer new features, build products and their integrations and improve the scalability through our cloud and performance engineering expertise.
Our R&D-driven mindset helps us engineer new features, build products and their integrations and improve the scalability through our cloud and performance engineering expertise.
Offerings & Solutions
End-to-end approach to resolving Multimedia challenges for enterprises
Text, Audio, Speech and Images
- Text Analytics
- Speech Recognition
- Noise Suppression
- Object Identification
- Facial recognition
- Analysis based applications
Video
- CLOUD VMS
- Cloud-based video surveillance system
- Low latency high-resolution image & video compression
- User & alert management systems
- Camera health monitoring
- Event detection & handling
Multimedia and Streaming
- Multimodal analytics
- Data pre-processing, augmentation, quality assessment & post-processing
- Audio/video codec
- Cloud-based transcoding
- Content Delivery Network
- Streaming protocols like WebRTC, HLS, MPEG-DASH, RTMP, RTSP
- Streaming frameworks like Gstreamer, FFMpeg, Jitsi, Kurento
AI/ML based Multimedia Analytics Research Hub
Denoiser
An AI/ML based tool that utilizes supervised deep learning methods to filter out unwanted background noise without degrading the signal of interest.
Single Cell Classification – Human Protein Atlas
We developed an approach capable of segmenting and classifying cell-level labels from image-level labels. A use case solved for Kaggle Competition
Video KYC Solution
An AI/ML based KYC solution that enables face match, eKYC, and Geo-tagging and liveness detection feature.
eBook
Physiological Model Of Speech Production & Commonly Used Descriptors For Speech Analytics
Analysis of sound can be used across various areas like security management, medical diagnosis and sentiment & speech analysis for contact centers.