1,720,957 research outputs found
Chroma-Actions Dataset: Acoustic Images: Code
No full textChromagram-based representation of audio extracted from videos. These representations were extracted from the UCF-101 Human Action Recognition dataset. Only videos with audio-channels were considered
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
Multimodal human action recognition using deep learning
No full textThis dissertation addresses the increasingly critical domain of human action recognition via videos, which manifests relevance in numerous fields, ranging from video retrieval and human-robot interaction to visual surveillance, human-computer interaction to sports analysis, and healthcare to entertainment. Currently, the growing attraction towards multimodal action recognition is driven by the advent of technologically superior and economically viable multimodal sensors, accompanied by top-tier data collection mechanisms.
The initial segment of this thesis meticulously scrutinizes the existing literature on multimodal action recognition. The inaugural chapter of this section is dedicated to a comprehensive survey of RGB-D data acquisition sensors, encompassing the spectrum of techniques from classical machine learning to modern deep learning methodologies applied in multimodal action recognition. The subsequent chapter pivots towards a second in-depth survey which covers the transition from Convolutional Neural Networks to Transformer-based techniques from the viewpoint of feature fusion and action learning.
The next phase in this discourse emphasizes the preprocessing of datasets and the formulation of intermediary datasets. We put forth the concept of lightweight datasets, meticulously designed to harness distinctive multimodal features from alternate representations, thereby establishing a fresh perspective on data utilization.
Following this, the third segment of this thesis unveils two novel methodologies for multimodal human action recognition. The initial method integrates meticulously segmented visual and complex audio features, utilizing convolutional neural networks (CNNs) to deeply embed features essential for action recognition. Meanwhile, the second approach is centered on the usage of audiovisual token embeddings, deploying transformers for multimodal feature extraction, which are then forwarded to the fusion module. This module is instrumental in learning intricate spatial and temporal relationships vital to recognizing human actions.
Through rigorous experimentation, we provide robust evidence underscoring the superiority of our proposed methods over existing state-of-the-art techniques on benchmark datasets for multimodal human actions, with a specific emphasis on audio and visual modalities. Furthermore, we substantiate the scalability of the proposed methodologies, by assessing their performance on datasets of varied sizes and characteristics, thereby ensuring that our innovative approaches retain their effectiveness irrespective of data scale and diversity
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
koamabayili/VECTRON-author-checklist: VECTRON author checklist
No full textWe have done our best to complete the author checklist relating to the use of animals in the hut study. Note that the objective for the hut study was to evaluate the IRS treatment applications for residual efficacy against Anopheles mosquitoes, including the local An. coluzzii mosquito population. Cows were only used to attract mosquitoes into the huts and no tests were carried out directly on the cows. The author checklist is intended for use with studies where experiments are carried out on animals, which is why we have had such difficulty in completing this for the hut study, as many of the questions do not relate to how the cows were used
Author-wise bibliometric analysis based on entropy.
No full textAuthor-wise bibliometric analysis based on entropy.</p
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