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FAST-FACS: A Computer-Assisted System to Increase Speed and Reliability of Manual FACS Coding

by O De La Torre, Tomas Simon, Zara Ambadar, Jeffrey F. Cohn
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The coding and annotation of multimodal dialogue acts

by Volha Petukhova, Harry Bunt , 2012
"... This paper describes how the ISO 24617-2 annotation scheme can be used, together with the DIT++ method of ‘multidimensional segmentation’, to annotate nonverbal and multimodal dialogue behaviour. We analyse the fundamental distinction between (a) the coding of surface features; (b) form-related sema ..."
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This paper describes how the ISO 24617-2 annotation scheme can be used, together with the DIT++ method of ‘multidimensional segmentation’, to annotate nonverbal and multimodal dialogue behaviour. We analyse the fundamental distinction between (a) the coding of surface features; (b) form-related semantic classification; and (c) semantic annotation in terms of dialogue acts, supported by experimental studies of (a) and (b). We discuss examples of specification languages for representing the results of each of these activities, showing how dialogue act annotations can be attached to XML representations of functional segments of multimodal data.
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...ue utterances. While human coding is seen not to be reliable, automatic techniques, by contrast, are quite robust, offering optimal metrics to segment a video stream into action units (see e.g. De la =-=Torre et al., 2011-=-), to measure the speed, size and intensity of image change, and to calculate the trajectory and distance of movements (see, e.g. Lösch et al., 2008 and Zhou et al., 2011). Moreover, automatic techni...

Facial action unit detection by cascade of tasks

by Xiaoyu Ding , Wen-Sheng Chu , Fernando De La Torre , Jeffery F Cohn , Qiao Wang - In ICCV , 2013
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...d offset of each segment, or event. Examples of frame-level detection are [2, 6, 18, 33, 36, 37, 39]. Examples of segment-level detection are [4, 26, 27, 30], and examples of transition detection are =-=[11]-=-. See [10, 21] for recent surveys. With few exceptions, most approaches to AU detection are frame-level detectors. They consider each video frame as independent. Because this assumption ignores the in...

expressions is comparable to

by Barry Borsboom
"... Guess Who?: A game to crowdsource the labeling of affective facial ..."
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Guess Who?: A game to crowdsource the labeling of affective facial
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...ourced labeling of an affective facial expressions database is important because manual labeling of an affective database can be relatively expensive, time consuming and difficult to standardize [34] =-=[44]-=-. The task of labeling facial expressions has to be done by humans because computers normally cannot do this. Projects like the ESP game [1], Foldit [3] and reCAPTCHA [7] have revealed the possibility...

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