DyPERS, 'Dynamic Personal Enhanced Reality System', is a wearable system which uses augmented reality and computer vision to autonomously retrieve 'media memories' based on associations with real objects the user encounters. These are evoked as audio and video clips taken by the user and overlayed on top of real objects the user looks at. The user's visual and auditory scene is stored in real-t...

In both terrestrial and marine ecology, physical tagging is a frequently used method to study population dynamics behavior. However, such techniques are increasingly being replaced by individual re-identification using image analysis. This paper introduces contrastive learning-based model for identifying individuals. The uses the first parts of Inception v3 network, supported projection head, w...

This article analyses the use of film style in Rashomon (1950) to determine if the different accounts of the rape and murder provided by the bandit, the wife, the husband, and the woodcutter are formally distinct by comparing shot length data and using multiple correspondence analysis to look for relationships between shot scale, camera movement, camera angle, and the use of point-of-view shots...

In this paper, we propose a video summarization algorithm by multiple extractions of key frames in each shot. This algorithm is based on the k partition algorithms. We choose the ones based on k-medoid clustering methods so as to find the best representative object for each partitions. In order to find the number of partition (i.e. the number of representative frames of each shot), we introduce...

Previous experimental studies suggest that cooperation in one-shot anonymous interactions is, on average, spontaneous, rather than calculative. To explain this finding, it has been proposed that people internalize cooperative heuristics in their everyday life and bring them as intuitive strategies in new and atypical situations. Yet, these studies have important limitations, as they promote int...

As the multimedia data increasing exponentially, how to get the video data we need efficiently become so important and urgent. In this paper, a novel method for shot retrieval is proposed, which is based on fuzzy evolutionary aiNet and hybrid features. To begin with, the fuzzy evolutionary aiNet algorithm proposed in this paper is utilized to extract key-frames in a video sequence. Meanwhile, t...

Cavitation normally causes severe damage in hydraulic machinery such as pumps, valves and so on. However, cavitation impact can be utilized to surface treatment to improve fatigue strength of metallic materials in the same way as shot peening. A peening method using cavitation impact was named as “cavitation shotless peening” or “cavitation peening” as shots are not required. As increase of sur...

In this paper, we discuss parameter identification for models based on ordinary differential equations in the context of solid oxide fuel cells. In this case, verified methods (e.g. interval analysis), which provide a guarantee of correctness for the computed result, can be of great help for dealing with the appearing uncertainty and for devising accurate control strategies. Moreover, interval ...

Action recognition in surveillance video makes our life safer by detecting the criminal events or predicting violent emergencies. However, efficient action recognition is not free of difficulty. First, there are so many action classes in daily life that we cannot pre-define all possible action classes beforehand. Moreover, it is very hard to collect real-word videos for certain particular actio...

In this paper, a content dependent visible watermarking scheme for video is proposed. By using the focus detection framework developed in [10], we calculate the unsuitability contrary to the focus region that catches user’s attention the most and embed a visible watermark to the region with the highest unsuitability. A scaling coefficient is also calculated according to local properties of the ...