About Us


Mayachitra, Inc. provides state-of-art image processing, video management and computer vision technologies for content-centric applications in commercial, scientific, and defense markets. Automating the information extraction, access and management from image and video archives relieves the painstaking manual effort commonly required for extracting information of value from multimedia data archives.


Mayachitra thrives to research and develop state-of-the-art image informatics technologies related to image/video processing, computer vision, and large scale data management.

Fact Sheet & Highlights

  • Co-founded in 2001 as a consulting firm by B. S. Manjunath, Ph.D. and Shivkumar Chandrasekaran, Ph.D.; Expanded to a research and development company in 2005
  • Located in Santa Barbara, California, USA
  • Privately held
  • Zero debt
  • Primarily funded by federal grants (SBIRs and STTRs) and developed product sales
  • 27 winning grants in last 9 years
  • 1 project in transitioning Phase II to Phase III

Competitive Advantages at Mayachitra

  • Pool of highly qualifed and experienced engineers
  • Strong ties to UCSB, constant source of new technologies
  • History of brining sophisticated technology with an intuitive interface, responsive to changing needs
  • Deliver new products to market in cost effective ways with low overhead


The company has core competencies in the areas of image processing, computer vision, bio-image analysis, data hiding and image registration. Mayachitra has rapidly grown into a leader in providing image informatics solutions and has experienced full-time engineers, most of them with Ph.D. degrees. This team has extensive experience in image processing, computer vision, machine learning, scientific computing, and multimedia databases. Our key technology area include:

  • Large scale visual & activity content-based search
  • High dimensional descriptor indexing
  • Automated image labeling and classification
  • Advanced image and video registration
  • Quantitative analysis of biological images
  • Compressive sensing
  • Search relevance feedback
  • Video saliency detection
  • Tracking and video activity recognition
  • Image matching-based geo-localization
  • Image/Video forgery detection and localization
  • Malware classification