We investigate the problem of automatically identifying speaking faces for video analysis using only the visual information. Intuitively, mouth should be first accurately located in each face, but this is extremely challenging due to the complicated condition in video, such as irregular lighting, changing face poses and low resolution etc. Even though we get the accurate mouth location, it’s st...

Inthepresentarticle,weinvestigatetheintroductionofacloud-basedvideoanalysisplatformcalled PlayerUniverse(PU).Videoanalysisisnotanewperformance-enhancingelementinsports,butPU isinnovativeinhowitfacilitatesreflectivelearning.VideoanalysisisexecutedinthePUplatformby involvingtheplayersintheanalysisprocess,inthesensethattheyareencouragedt...

INTRODUCTION One of the common concepts to show the happiness and stability of marriage is the concept of marital satisfaction. Marital satisfaction plays an important role in the stability of marriage. This study was conducted to explain the perception of marital satisfaction among Iranian women. METHODS This study was conducted between March and September 2015 by common qualitative content ...

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Recently, interest about intelligence facility surveillance system is increasing for a facility management. In the intelligence facility surveillance system, a shadow improvement technique is very important to analyzing video information. The reason, the facility’s shadow can make video analysis difficult. Previous researches about the shadow improvement are not suitable in facility surveillanc...

Knowledge-based fuzzy inference and neural learning are used in this paper in order to model the event recognition task in semantic video analysis. The advantage of their use is the symbolic nature of the representation of the knowledge concerning the events to be recognized. Moreover, this knowledge can be adapted with the aid of data taken from video sequences. The proposed system has been te...

In this paper we discuss several forms of spatiotemporal convolutions for video analysis and study their effects on action recognition. Our motivation stems from the observation that 2D CNNs applied to individual frames of the video have remained solid performers in action recognition. In this work we empirically demonstrate the accuracy advantages of 3D CNNs over 2D CNNs within the framework o...

For the purpose of content based video process, this paper presents a novel video attention model. The impacts of the spatial position, the clearness, the appearance probability and motion vector on video attention regions are taken into account. Based on these extracted information, a novel model which can be employed to find video attention regions is finally constructed. Subsequently, after ...

Keyboard input for non-alphabetical languages, such as Chinese and Japanese, is problematic because it is labor intensive and imposes a high cognitive load. In our previous work, we measured the effectiveness of handwriting during a note-taking task in Japanese, and found that the input speed during note-taking was higher by hand than by keyboard. The results also showed that the quality of not...

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