There is an increasing interests in micro-expression researches. Spotting micro-expressions in long-term videos is very important, not only for providing clues for lie detection, but also for reducing the labor required to collect micro-expression data. However, little progress has been made in spotting micro-expressions. In this paper, we propose a Main Directional Maximal Difference (MDMD) An...

Topic spotting is the task of assigning a category to the document, among the predefined categories. Topic spotting is called text categorization. Controlled indexing is the procedure of extracting the informative terms reflecting its contents, from the text. There are two kinds of repositories, in the proposed scheme of topic spotting; one is the integrated repository for controlled indexing a...

Gesture spotting is the challenging task of locating the start and end frames of the video stream that correspond to a gesture of interest, while at the same time rejecting non-gesture motion patterns. This paper proposes a new gesture spotting and recognition algorithm that is based on the continuous dynamic programming (CDP) algorithm, and runs in real-time. To make gesture spotting efficient...

Micro-expressions are facial expressions that have a short duration (generally less than 0.5 seconds), involuntary appearance and low intensity of movement. They are regarded as unique cues revealing the hidden emotions of an individual. Although methods for the spotting and recognition of general facial expressions have been investigated, little progress has been made in the automatic spotting...

Five feline-derived microsatellite markers were genotyped in a large pedigree of cats that segregates for ventral white spotting. Both KIT and EDNRB cause similar white spotting phenotypes in other species. Thus, three of the five microsatellite markers chosen were on feline chromosome B1 in close proximity to KIT; the other two markers were on feline chromosome A1 near EDNRB. Pairwise linkage ...

This paper describes several approaches to keyword spotting (KWS) for informal continuous speech. We compare acoustic keyword spotting, spotting in word lattices generated by large vocabulary continuous speech recognition and a hybrid approach making use of phoneme lattices generated by a phoneme recognizer. The systems are compared on carefully defined test data extracted from ICSI meeting dat...

We present a method for spotting sporadically occurring gestures in a continuous data stream from body-worn inertial sensors. Our method is based on a natural partitioning of continuous sensor signals and uses a two-stage approach for the spotting task. In a first stage, signal sections likely to contain specific motion events are preselected using a simple similarity search. Those preselected ...

We propose a single neural network architecture for two tasks: on-line keyword spotting and voice activity detection. We develop novel inference algorithms for an end-to-end Recurrent Neural Network trained with the Connectionist Temporal Classification loss function which allow our model to achieve high accuracy on both keyword spotting and voice activity detection without retraining. In contr...