Multimodal News Summarization, Tracking and Annotation Incorporating Tensor Analysis of Memes

We demonstrate four novel multimodal methods for efficient video summarization and comprehensive cross-cultural news video understanding. First, For video quick browsing, we demonstrate a multimedia event recounting system. Based on nine people-oriented design principles, it summarizes YouTube-like videos into short visual segments (812sec) and textual words (less than 10 terms). In the 2013 Trecvid Multimedia Event Recounting competition, this system placed first in recognition time efficiency, while remaining above average in description accuracy. Secondly, we demonstrate the summarization of large amounts of online international news videos. In order to understand an international event such as Ebola virus, AirAsia Flight 8501 and Zika virus comprehensively, we present a novel and efficient constrained tensor factorization algorithm that first represents a video archive of multimedia news stories concerning a news event as a sparse tensor of order 4. The dimensions correspond to extracted visual memes, verbal tags, time periods, and cultures. The iterative algorithm approximately but accurately extracts coherent quad-clusters, each of which represents a significant summary of an important independent aspect of the news event. We give examples of quad-clusters extracted from tensors with at least 108 entries derived from international news coverage. We show the method is fast, can be tuned to give preferences to any subset of its four dimensions, and exceeds three existing methods in performance. Thirdly, noting that the co-occurrence of visual memes and tags in our summarization result is sparse, we show how to model cross-cultural visual meme influence based on normalized PageRank, which more accurately captures the rates at which visual memes are reposted in a specified time period in a specified culture. Lastly, we establish the correspondences of videos and text descriptions in different cultures by reliable visual cues, detect culture-specific tags for visual memes and then annotate videos in a cultural settings. Starting with any video with less text or no text in one culture (say, US), we select candidate annotations in the text of another culture (say, China) to annotate US video. Through analyzing the similarity of images annotated by those candidates, we can derive a set of proper tags from the viewpoints of another culture (China). We illustrate cultural-based annotation examples by segments of international news. We evaluate the generated tags by cross-cultural tag frequency, tag precision, and user studies

Tracing and Predicting Collaboration for Junior Scholars

Academic publication is a key indicator for measuring scholars' scientific productivity and has a crucial impact on their future career. Previous work has identified the positive association between the number of collaborators and academic productivity, which motivates the problem of tracing and predicting potential collaborators for junior scholars. Nevertheless, the insufficient publication record makes current approaches less effective for junior scholars. In this paper, we present an exploratory study of predicting junior scholars' future co-authorship in three different network density. By combining features based on affiliation, geographic and content information, the proposed model significantly outperforms the baseline methods by 12% in terms of sensitivity. Furthermore, the experiment result shows the association between network density and feature selection strategy. Our study sheds light on the re-evaluation of existing approaches to connect scholars in the emerging worldwide Web of Scholars

ANALYSIS OF AGOMELATINE TREATMENT WITH DEPRESSIVE SYMPTOMS

Objective: Agomelatine is a new mechanism of antidepressants, which is approved by Taiwan Food and Drug Administration and available in Taiwan.Agomelatine behaves both as a potent agonist at melatonin MT1 and MT2 receptors and as a neutral antagonist at 5-HT2C receptors. The structuresof agomelatine are similar to melatonin with not only the effects to maintain depression symptoms but also can help patients who have insomnia.Methods: This is a retrospective study. In a mental hospital in Taoyuan, we analyzed the prescriptions of the outpatients who were prescribedagomelatine to realize the effects of agomelatine and whether the prescriptions were prescribed appropriately.Results: Catastrophic illnesses were found to be associated with significantly used multiple hypnotics (χ2 =22.02, p<0.001). When patients’ ageincreased by 1 year, multiple hypnotics used increased by 1.013 times (Exp(B)=1.013, p<0.01). Catastrophic illnesses were found to be associatedwith significantly used augmentation with other antidepressants (χ2=54.07, p<0.001).Conclusions: Doctors should be evaluating the benefits and risks when they prescribe a medicine to patients, and they should be written in medicalrecord. This study is the hope to provide relevant units as a reference for formulating health policies

Rule-based Korean Grapheme to Phoneme Conversion Using Sound Patterns

PACLIC 23 / City University of Hong Kong / 3-5 December 200

2011-2012 Philharmonia in Concert at Boca West

https://spiral.lynn.edu/conservatory_philharmonia/1063/thumbnail.jp