Urban Computing

Zheng, Yu; Capra, Licia; Wolfson, Ouri; Yang, Hai

doi:10.1145/2629592

Cited by 928 publications

(128 citation statements)

References 125 publications

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“…Comparing LBP features extracted from the alignment areas with the features extracted from salient areas on alignment faces and the whole alignment faces, better recognition rates can be gained by our algorithm by using SVM classifier. Polynomial, Linear, RBF kernel SVM are used in our experiment and the SVM classifier is designed by Chih-Chung Chang and Chih-Jen Lin [29]. Gamma correction method is used to process the LBP features in our experiment.…”

Section: Salient Areas Definitude and Salient Areas Alignmentmentioning

confidence: 99%

Facial Expression Recognition with Fusion Features Extracted from Salient Facial Areas

Liu

et al. 2017

Preprint

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Abstract:In pattern recognition domain, deep architectures are widely used nowadays and they have achieved fine grades. However, these deep architectures need special demands, especially big datasets and GPU. Aiming to gain better grades without deep networks, we propose a simplified algorithm framework using fusion features extracted from the salient areas of faces. Furthermore, the proposed algorithm has achieved a better result than some deep architectures. For extracting more effective features, this paper firstly defines the salient areas on the faces. This paper normalizes the salient areas of the same location in the faces to the same size, therefore it can gain more similar features from different subjects. LBP and HOG features are extracted from the salient areas, fusion features' dimensions are reduced by Principal Component Analysis( PCA) and we apply softmax to classify the six basic expressions at once. This paper proposes a salient areas definitude method which uses peak expressions frames to compare with their neutral faces. This paper also proposes and applies the idea of normalizing the salient areas to align the specific areas which express the different expressions. This makes the salient areas found from different subjects have the same size. Besides, gamma correction method is firstly applied on LBP features in our algorithm framework which improves our recognition rates significantly. By applying this algorithm framework, our research has gained state-of-the-art performances on CK+ database and JAFFE database.

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Section: Salient Areas Definitude and Salient Areas Alignmentmentioning

confidence: 99%

Facial Expression Recognition with Fusion Features Extracted from Salient Facial Areas

Liu

et al. 2017

Preprint

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“…During the first decade of the new millennium, technology progress enables the tailoring of ever complex and specific experiences for the mobile users (Paay et al, 2008); (Bell et al, 2006). Public spaces are increasingly augmented with layers of information and multimedia content (Zheng et al, 2014). Audiences can participate and generate content that is published in real time.…”

Section: Interactive Storytelling a Changing Panoramamentioning

confidence: 99%

The changing panorama of interactive storytelling: a review from locative to transmedia

Nisi

2017

DOC online

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Resumo: Desde os primórdios da civilização que o modo como contamos e consumimos histórias define o sentido que damos ao mundo. Cada nova tecnologia implica um impacto nos artefactos narrativos. Hoje em dia, as tecnologias digitais ubíquas permitem estruturar e distribuir narrativas de modos novos e sem precedentes. Este artigo discue a evolução da narrativa interativa surgida pelo advento de interfaces mó-veis. Tentarei exemplificar esta evolução a partir do estudo crítico de estudos de casos e ter em conta o meu próprio percurso de investigação. Palavras-chave: narrativa transmedia; narrativa interativa; meios de comunicação; historias multimedia com localização; tecnologias conscientes do contexto; interação Homem-computador.Resumen: Desde los orígenes de la civilización, el modo como contamos y consumimos historias define el sentido que damos al mundo. Cada nueva tecnología implica un impacto en los artefactos narrativos. Hoy en día, las tecnologías digitales ubicuas permiten estructurar y distribuir narraciones de modos nuevos y sin precedentes. Este artículo presenta la evolución interactiva surgida con el advenimiento de interfaces móviles. Intentaré ejemplificar dicha evolución a partir del análisis crítico de estudios de caso, teniendo en cuenta mi propia trayectoria investigadora. Palabras clave: narrativa transmedia; narrativa interactiva; medios de comunicación; historias multimedia con ubicación; tecnologías conscientes del contexto; interacción Hombre-computadora.Abstract: Since the early days of civilization, the way we tell and consume stories defines how do we make sense of the world. Every new technology has an impact on our narrative artifacts. Nowadays ubiquitous digital technologies allow us to structure and distribute our narratives in novel and unprecedented ways. This paper discusses the evolution of interactive storytelling brought about by the advent of mobile Interfaces. I will exemplify this shift reviewing a series of case studies highlighted from my own research path. Keywords: transmedia storytelling; interactive narrative; locative media; location aware multimedia stories; context aware technologies; human computer interaction.Résumé : Depuis l'aube de la civilisation, la façon dont nous racontons et consommons les histoires définit le sens que nous donnons au monde. Chaque nouvelle tech-

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“…To address these limitations, this study is the first to assess patient bypass behavior using taxi GPS data. GPS-equipped taxicabs can be regarded as mobile sensors that continually trace the real-time locations of drivers and passengers [18][19][20]. The passenger pick-up and drop-off points that are extracted from taxi trajectories can reveal passenger origins and travel destinations [21,22].…”

Section: Introductionmentioning

confidence: 99%

Assessing Patient bypass Behavior Using Taxi Trip Origin–Destination (OD) Data

Yang

Shu

et al. 2016

IJGI

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Abstract:Many patients prefer to use the best hospitals even if there are one or more other hospitals closer to their homes; this behavior is called "hospital bypass behavior". Because this behavior can be problematic in urban areas, it is important that it be reduced. In this paper, the taxi GPS data of Beijing and Suzhou were used to measure hospital bypass behavior. The "bypass behavior index" (BBI) represents the bypass behavior for each hospital. The results indicated that the mean hospital bypass trip distance value ranges from 5.988 km to 9.754 km in Beijing and from 4.168 km to 10.283 km in Suzhou. In general, the bypass shares of both areas show a gradually increasing trend. The following hospitals exhibited significant patient bypass behavior: the 301 Hospital, Beijing Children's Hospital, the Second Affiliated Hospital of Soochow University and the Suzhou Hospital of Traditional Chinese Medicine. The hospitals' reputation, transport accessibility and spatial distribution were found to be the main factors affecting patient bypass behavior. Although the hospital bypass phenomena generally appeared to be more pronounced in Beijing, the bypass trip distances between hospitals were found to be more significant in Suzhou.

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Urban Computing

Cited by 928 publications

References 125 publications

Facial Expression Recognition with Fusion Features Extracted from Salient Facial Areas

Facial Expression Recognition with Fusion Features Extracted from Salient Facial Areas

The changing panorama of interactive storytelling: a review from locative to transmedia

Assessing Patient bypass Behavior Using Taxi Trip Origin–Destination (OD) Data

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