TRECVID 2016: Evaluating vdeo search, video event detection, localization, and hyperlinking

A ranking measure guides an automatic selection of concepts in order to improve audio concept classification with the goal to improve video event detection.. The ranking aids

After building the topics characterizing each city, our goal was to select the topics relevant to each challenge, so we retrieved photos with characteristic keywords (e.g. indigna-

Keywords Failure diagnosis · Detection and Localization · Timed Event Graphs · (max, +)-Linear Systems · Dioid and Residuation Theory · Toolbox..

• High-level textual descriptors based on optical character recognition (OCR) and automatic speech recognition (ASR) that output semantically mean- ingful text features,

The result is essentially different of the standard time warping for two reasons: (1) it allows jumping between non- contiguous cells; and (2) it enforces a one-to-one

We present here an ontology for representing complex semantic events to assist video surveillance-based vandalism detection.. The ontology contains the definition of a rich

Our method fol- lows two phases: (1) objects are detected and tracked from every single frame using YOLO, providing simple events such as appearance of the object, disap- pearance

Special means of the object-oriented logic programming are developed for the implementation of the semantic fusion of the video data, including special built-in classes of