电影音乐创作的多元化态势

中国电影音乐诞生之初就已成为音乐界人士关注和参与的重要领域,发展过程中渗透进很多民族民间音乐的元素,同时风格上也形成千姿百态的变化,具有鲜明的特色。电影音乐的多元化发展,对电影艺术具有深刻影响,拓宽了电影的创作思路,其本身的观赏性与艺术性也得到了发挥和提升。     

为了民族的电影艺术--潇湘电影制片厂厂长康健民采访记

中国电影业发展的困难很大，电影却越拍越好。潇湘电影制片厂最近几年的发展是比较好的，经验是：艰苦创业，盘活资源，坚持走自己的路，发挥自己的化优势，生产具有浓郁湖湘化特色的影视艺术佳作。电影艺术越是民族的就越是世界的。     

从影视文本看女性就业困境的社会问题

女性就业所遭受到的阻力以及所引起的相关问题，已经成为中国的一个显性社会问题。这其中的成因并非是单纯的性别歧视，而是夹杂着大量的社会性因素，因此必须把女性就业问题置于整个社会环境中去研究。一些影视文本以一种艺术的方式，对这一社会问题给予了一定的社会关注。本文力图从这些影视文本中去深入挖掘女性就业困境背后的多重因素，促成女性就业政策的落实与监督，以创造出更多适宜女性的工作机会，改善女性就业的“生态环境”．使女性更好地实现自己的人力资本价值。     

高职商务英语教学方法研究综述

商务英语属于专门用途英语。近年来,随着商务英语教学在我国的普及,对商务英语课程教学方法的研究也日益活跃起来。从分析高职商务英语课程的特点出发,指出现行教学方法的局限性,对目前教育界比较推崇的几种新型教学方法进行了归纳总结,希望能够起到推介的作用。     

原声电影在高职高专商务英语专业视听说课程中的运用

为培养和提高学生英语学习兴趣,帮助他们克服学习方面不利因素,利用英语原声电影对高职高专商务英语专业学生进行视听说课程辅助教学是一种非常有效的教学手段。不仅能扩大学生知识面,使他们了解到国外的风土人情、文化习俗,同时还能提高学生英语听说水平和语言应用能力。教师在教学中可根据学生兴趣爱好组织观看电影,并开展多种形式的课堂活动,使学生在愉快的课堂气氛中轻松学英语。     

Por una Cabeza与电影音乐

在电影产业高速发展又高度发达的今天,电影从单一的视觉艺术的过去进入到了一个视听均衡的新阶段。电影中的音乐对于推动剧情发展、烘托影片主题,渲染画面情绪,调节气氛等都有着重要作用。音乐PorunaCabeza在影片《闻香识女人》,《辛德勒名单》以及《真实的谎言》中均有出现,与不同影片结合的同一原声,在电影作品中又有着不同的表现。     

基于GRI模型和C5．0规则集的图书推荐模式研究

通过应Clementine12．0中关联规则的GRI模型和C5．0推理规则集,对问卷涉及的205位青少年用户基本信息和图书购买信息进行数据建模和分析。研究结果表明,单个用户购买的多类图书之间,具有相同购买特征（如性别、年龄、教育背景等）的用户群和某类图书之间均存在一定的关联规律。在此基础上,提出了基于GRI模型和C5．0规则集的图书推荐模式,即跨类型和相同用户兴趣的图书推荐,试图为图书馆和图书零售市场开展图书推荐服务提供参考。     

Mining movies for song sequences with video based music genre identification system

Musical sequences with actors dancing and lip-synching to songs sung by playback singers are integral parts, particularly of South Asian movies. Fans seek out movies for their songs and they often seek songs of a particular genre. In fact, song and dance sequence of South Asian movies are an industry of their own. Given the huge numbers of movies produced in South Asia over the past decades, most of which are in digital archives, it is an important problem to automatically extract and categorise their musical sequences. This paper proposes a system for musical sequences extraction from movies. Our method invokes an SVM-based classifier and makes as well a novel application of probabilistic timed automaton to distinguish musical sequences from non-musical. Our system analyses both audio and video signals to give a classifier that not only extracts musical sequences from movies but identifies their genre. We achieved a recall of 93.24% with precision of 87.34% in song extraction when applied on 10 popular Bollywood movies. An accuracy of 89.5% has been achieved on Bollywood song genre identification.     

校园播客的构建及其在影视教学中的应用

在新媒体新技术迅速发展的背景下,文章依据泛在学习理论,分析了播客的内涵、传播特性,构建了基于播客的学习平台,并在影视教学中进行了探索和尝试,以期对今后开展相关研究起到抛砖引玉的作用。     

Leveraging heuristic client selection for enhanced secure federated submodel learning

As the number of clients for federated learning (FL) has expanded to the billion level, a new research branch named secure federated submodel learning (SFSL) has emerged. In SFSL, mobile clients only download a tiny ratio of the global model from the coordinator’s global. However, SFSL provides little guarantees on the convergence and accuracy performance as the covered items may be highly biased. In this work, we formulate the problem of client selection through optimizing unbiased coverage of item index set for enhancing SFSL performance. We analyze the NP-hardness of this problem and propose a novel heuristic multi-group client selection framework by jointly optimizing index diversity and similarity. Specifically, heuristic exploration on some random client groups are performed progressively for an empirical approximate solution. Meanwhile, private set operations are used to preserve the privacy of participated clients. We implement the proposal by simulating large-scale SFSL application in a lab environment and conduct evaluations on two real-world data-sets. The results demonstrate the performance (w.r.t., accuracy and convergence speed) superiority of our selection algorithm than SFSL. The proposal is also shown to yield significant computation advantage with similar communication performance as SFSL.