Software Engineer Kansas University Portland, Oregon
AnnotateVid.io is a highly customizable web application where users create public or private video collections that can be annotated by other (public or invited) users with the aim to capture data related to behavior. It is “free as in beer” for academic accounts. Collection owners can customize the data intake questions they ask of their collection’s users for all individuals, videos, and behaviors featured in their collection(s). This allows for great flexibility in the types of videos and behaviors that can be annotated. During annotation, a user indicates when a behavior is begun, and then marks when that behavior is ended in the video. Data for the behaviors recorded per video and per collection as a whole are downloadable as well as filterable and sortable by each custom attribute in the video. These data could facilitate analyses of frequency, duration, success/failure rates, or even association of various behaviors with each other across time. Use cases in the field of entomology could include analysis of any invertebrate behavioral videos as well as facilitation of content discoverability from recorded class/lecture content. Related example uses of AnnotateVid.io will be demonstrated, potentially including a collection of course lecture videos, a collection of sport activity videos, and a collection of rattlesnake behavior videos.