Automated Multimedia Analysis and Tagging

Autoclassification enhanced with Image and Video Analysis

At BA Insight, we have deployed image video analysis as a part of our AutoClassifier software, allowing end users and system administrators to benefit from this technology in an easy to use and easy to deploy method.

The key capabilities of AutoClassifier’s image and video analysis features are as follows:

Extraction of all text that appears with an image

No need to deploy expensive and error-prone OCR processes anymore
Enables searching of all text embedded within images

Extraction of all speech within a video, returning a text searchable transcript

Identification of signatures within a document

Easily identify “final” or “signed” documents

Extraction of images/videos from within documents

Unlock embedded multimedia, allowing valuable contextual data to be found

Identification of objects, locations, and activities captured with the images and video

Identify specifically what the video/image is of, details on the surroundings within the video/image, and other valuable details
Easily leverage the identified information as metadata to drive search relevancy and quality

Benefits of Natural Language Processing

AutoClassifier’s Natural Language Processing is based on best of breed machine learning, which delivers many benefits:

Users are more likely

to find what they are looking for as simple keyword searching is replaced with intent-based searching

Machine Learning

automatically focuses on common cases whereas when writing rules manually it is often not obvious where the efforts should be directed

Machine Learning

can make use of statistical algorithms to produce models that are robust to unfamiliar input (e.g. containing words or structures that have not been seen before) and to erroneous input (e.g. with misspelled words or words accidentally omitted)

The Natural Language Processing

can be made more accurate simply by supplying more input data