1,720,965 research outputs found
Editorial for special issue “fine art pattern extraction and recognition”
Full text link: Cultural heritage, especially the fine arts, plays an invaluable role in the cultural, historical, and economic growth of our societies [...]
Density-based clustering with fully-convolutional networks for crowd flow detection from drones
Full text linkCrowd analysis from drones has attracted increasing attention in recent times due to the ease of use and affordable cost of these devices. However, how this technology can provide a solution to crowd flow detection is still an unexplored research question. To this end, we propose a crowd flow detection method for video sequences shot by a drone. The method is based on a fully-convolutional network that learns to perform crowd clustering in order to detect the centroids of crowd-dense areas and track their movement in consecutive frames. The proposed method proved effective and efficient when tested on the Crowd Counting datasets of the VisDrone challenge, characterized by video sequences rather than still images. The encouraging results show that the proposed method could open up new ways of analyzing high-level crowd behavior from drones
Investigating the Effectiveness of Color Coding in Multimodal Medical Imaging
No full textIn medical imaging, images represent the quantification of the interaction between electromagnetic waves and our body and are represented in grey-scale. In addition, medical imaging often produces multimodal images. However, the analysis and interpretation of these images mostly occur in sequence or, as in the case of automatic tools, they are simply concatenated as independent sources of information. In both cases, color perception and color contrast are not exploited. Color perception and color contrast play a crucial role in human vision to recognize objects effectively and efficiently, and this can in principle extend to automatic systems. In this paper we show how color coding, particularly using color opponent models, can become an effective tool for preliminary color-based segmentation. Tests have been conducted on multimodal Magnetic Resonance Imaging (MRI) of the brain collected in a public database and the results obtained show the importance of color coding in medical imaging analysis
Going Beyond Counting First Authors in Author Co-citation Analysis
Full text linkThe present study examines one of the fundamental aspects of author co-citation analysis (ACA) - the way co-citation
counts are defined. Co-citation counting provides the data on which all subsequent statistical analyses and mappings
are based, and we compare ACA results based on two different types of co-citation counting - the traditional type that
only counts the first one among a cited work's authors on the one hand and a non-traditional type that takes into
account the first 5 authors of a cited work on the other hand. Results indicate that the picture produced through this non-traditional author co-citation counting contains more coherent author groups and is therefore considerably clearer. However, this picture represents fewer specialties in the research field being studied than that produced through the traditional first-author co-citation counting when the same number of top-ranked authors is selected and analyzed. Reasons for these effects are discussed
Variations on the Author
Full text link“Variations on the Author” discusses two of Eduardo Coutinho’s recent films (Um Dia na Vida, from 2010, and Últimas Conversas, posthumously released in 2015) and their contribution to the general question of documentary authorship. The director’s filmography is characterized by a consistent yet self-effacing form of authorial self-inscription: Coutinho often features as an interviewer that rather than express opinions propels discourses; an interviewer that is good at listening. This mode of self-inscription characterizes him as an author who is not expressive but who is nonetheless markedly present on the screen. In Um Dia na Vida, however, Coutinho is completely absent form the image, while Últimas Conversas, on the contrary, includes a confessional prologue that moves the director from the margins to the center of his films. This article examines the ways in which these works stand out in the filmography of a director who offers new insights into the notion of cinematic authorship
Appropriate Similarity Measures for Author Cocitation Analysis
Full text linkWe provide a number of new insights into the methodological discussion about author cocitation analysis. We first argue that the use of the Pearson correlation for measuring the similarity between authors’ cocitation profiles is not very satisfactory. We then discuss what kind of similarity measures may be used as an alternative to the Pearson correlation. We consider three similarity measures in particular. One is the well-known cosine. The other two similarity measures have not been used before in the bibliometric literature. Finally, we show by means of an example that our findings have a high practical relevance.information science;Pearson correlation;cosine;similarity measure;author cocitation analysis
Unexpected delayed death after manual strangulation: need for careful examination in the emergency room.
No full textThe aim of this case report was to demonstrate the importance of detailed clinical assessment in victims of attempted manual strangulation, to prevent the occurrence of delayed death due to an airway collapse; and to provide an update on clinical management of these patients. An elderly male patient presented with a sore throat and speech impairment after attempting manual strangulation. Physical examination showed reddish skin of the neck, an extensive haematoma of the hard palate and anterior tongue. Flexible laryngoscopy failed to show any swelling of the hypopharynx or larynx. A few hours after presentation, the patient developed acute dyspnoea and died. Autopsy and post-mortem CT scan showed a haematoma in the thyro-epiglottal space. In conclusion, victims of manual strangulation can survive despite internal neck injury which can lead to delayed fatal airway collapse. This is because often there are few or no signs of assault, therefore medical evaluation should be thorough and timely. Sometimes immediate tracheotomy can be life saving
Graph Model to Represent Color Closeness in Pseudo-color Multimodal MRI
No full textIn medical imaging and magnetic resonance imaging (MRI), images generally represent the interaction between electromagnetic waves and the human body, often provided in multiple modalities, each represented in gray scale. However, the analysis and interpretation of these images mainly occur sequentially or, as in the case of automated tools, as a con-catenation of independent sources of information. The nonlinear relationships between them are not exploited or left to the learning process of a complex automated strategy. In contrast, combining multiple modalities into pseudo-color images could enable the exploitation of nonlinear relationships due to color perception and color contrast, which play a crucial role in human vision to recognize objects effectively and efficiently. In principle, this can be extended to automated systems. However, automatic strategies do not fully exploit color representation if these nonlinear relationships are not modeled. In this paper, we show how a graph model of a device-independent color encoding (CIE XYZ) supplemented with a metric in the form of Euclidean distance between colors can become an effective tool for image segmentation from multiple sources. Tests were conducted on multimodal brain MRIs collected in a public database. The results demonstrate the importance of a graph model for mimicking color relationships, which could be very useful in medical image analysis and interpretation and other color-based computer vision applications
Dispelling the Myths Behind First-author Citation Counts
Full text linkWe conducted a full-scale evaluative citation analysis study of scholars in the XML research field to explore just how different from each other author rankings resulting from different citation counting methods actually are, and to demonstrate the capability of emerging data and tools on the Web in supporting more realistic citation counting methods. Our results contest some common arguments for the continued
use of first-author citation counts in the evaluation of scholars, such as high correlations between author rankings by first-author citation counts and other citation
counting methods, and high costs of using more realistic citation counting methods that are not well-supported by the ISI databases. It is argued that increasingly available digital full text research papers make it possible for citation analysis studies to go beyond what the ISI databases have directly supported and to employ more
sophisticated methods
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