VideoCatalyzer - Automatic Video Content Analysis System


Automatic video analysis system for semantic content recognition in living organism videos
Description

VideoCatalyzer

The system is able to extract from experimental videos metadata describing the actions and behavior of individual organisms (cells, bacteria, mice, etc). Beginning with the image processing procedures required for identifying the objects of interest, the system tracks the movements and actions of such organism in the video sequences, detecting and recording the relevant behavioral events. The metadata obtained, that describe the organism behavior present at the video content, are also organized in a database allowing a by-content accessing of the videos, obtaining important analytical information from the subsequent queries. The database search system enables the retrieving and visualization of selected video sequences matching a given query-by-content criteria. The efficiency and accuracy of the presented system increase analytical power for uncovering and studying the effect of diferent enviromental variables on a variety of behavioral models.

Keywords: Computer vision, video analysis, object recognition, tracking, medicine

Documents in this page

The available documents are related to: general framework for video metadata, VideoCatalyzer descriptión for living cells and application examples of VideoCatalyzer for mice experiments. See below for document downloads.

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Documentation


A metadata classification schema for semantic content analysis of videos () - Journal paper
Automatic Analysis of the Content of Cell Biological Videos and Database Organization (wound healing videos, bacteria motility, bacteria grow, human sperm motility) - Journal paper
SEMANTIC CONTENT RECOGNITION AND ORGANIZATION IN MICE BEHAVIORAL TESTING VIDEO (8-arm spatial maze, mice videos) - Conference paper
AUTOMATIC TRACKING ANALYSIS IN MORRIS WATER MAZE BIOMEDICAL VIDEOS (Morris maze, mice videos) - Conference paper
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VideoCatalyzer for bacteria movility videos is available upon request. Please send an email to VideoCatalyzer@gmail.com