Computer-video interface system

Keywords: Global security, artificial intelligence, video, surveillance, ontology, intelligence, annotation, natural language processing, predictive analytics,

Our goal was to develop a video surveillance system that allowed continuous monitoring of bird nests in order to: (1) identify nest predators, (2) quantify predation and (3) study

In literature the task is known as content-based video retrieval (CBVR) [1], content- based video search [2], near-duplicate video matching [3] or content based video copy

The LIG search system [1] uses a user-controlled combina- tion of six criteria: keywords, phonetic string (new in 2009), similarity to example images, semantic categories, similarity

We briefly introduce here our innovative automated audio-video-slide recording system (EyA) developed to archive and share scientific lectures carried out using

The graphical model approach handles the sparsity in the training data by intelligently processing the test videos in such a way that each additional test (query) video not only

The MediaEval 2011 Placing Task [6] is to automatically estimate the location (latitude and longitude) of each query video using any or all of metadata, visual/audio content,

The system is based on semantically enriched video data and can be seen as an example system that allows research on semantic models for adaptive interactive