In this paper, we propose the Interest Meter (IM), a system making computer conscious of user’s reactions, to measure user’s interest in real time. The Interest Meter takes account of users ’ spontaneous reactions when users interact with computers. In this work, we analyze variations of user’s eye movement, blink, head motion, and facial expression. Furthermore, we propose an algorithm to combine those signals into interest score and determine important parts of video shots when people watch raw home videos. Experimental result shows that this new type of editing mechanism can effectively generate home video summaries. Keywords—Interest Meter, video summarization, facial expression, eye movement. 1
Regions in video streams attracting human interest contribute significantly to human understanding o...
International audienceThis paper presents a method of video summarization based on a visual attentio...
Emotion has been shown to have a large impact on our interactions with people and devices. In our da...
Abstract—In this paper, we propose the Interest Meter (IM), a system making the computer conscious o...
Abstract. In this paper, we propose a novel system for automatically summarizing home videos based o...
This project investigates different methodologies to understand and quantify interest and engagement...
We propose a methodology to estimate a user’s interest in documents displayed on a computer screen f...
The aim of this work is to devise an effective method for static summarization of home video sequenc...
A reliable method to estimate viewer interest is highly sought after for human-centered video inform...
Interest drives our focus of attention and plays an important role in social communication. Given it...
This paper presents a spatio-temporal approach in recognizing six universal facial expressions from ...
We present a user-based method that detects regions of interest within a video in order to provide v...
In this paper, by considering the multiple spatial-temporal characteristic of visual perception syst...
Automatic detection of viewer interest while watching video contents can enable multimedia applicati...
This paper presents an approach to affective video summarisation based on the facial expressions (FX...
Regions in video streams attracting human interest contribute significantly to human understanding o...
International audienceThis paper presents a method of video summarization based on a visual attentio...
Emotion has been shown to have a large impact on our interactions with people and devices. In our da...
Abstract—In this paper, we propose the Interest Meter (IM), a system making the computer conscious o...
Abstract. In this paper, we propose a novel system for automatically summarizing home videos based o...
This project investigates different methodologies to understand and quantify interest and engagement...
We propose a methodology to estimate a user’s interest in documents displayed on a computer screen f...
The aim of this work is to devise an effective method for static summarization of home video sequenc...
A reliable method to estimate viewer interest is highly sought after for human-centered video inform...
Interest drives our focus of attention and plays an important role in social communication. Given it...
This paper presents a spatio-temporal approach in recognizing six universal facial expressions from ...
We present a user-based method that detects regions of interest within a video in order to provide v...
In this paper, by considering the multiple spatial-temporal characteristic of visual perception syst...
Automatic detection of viewer interest while watching video contents can enable multimedia applicati...
This paper presents an approach to affective video summarisation based on the facial expressions (FX...
Regions in video streams attracting human interest contribute significantly to human understanding o...
International audienceThis paper presents a method of video summarization based on a visual attentio...
Emotion has been shown to have a large impact on our interactions with people and devices. In our da...