乡村振兴题材纪录片塑造的焕然一新的乡村形象,是对现实乡村的建构式再现,即通过话语建构实现大众对乡村的重新认识.从话语文本来看,纪录片运用的图像、声音、文字模态通过表征呈现出乡村的崭新面貌;从话语策略来看,乡村振兴的内涵通过互文性及隐喻与转喻得以阐释;从话语功能来看,纪录片有助于通过情感动员加速"城归"现象,并运用媒介话语形塑大众的国家认同.

随着精准扶贫向乡村振兴的过渡,深入分析和研究精准扶贫相关报道,对于媒体更好地进行乡村振兴报道具有重要的参考和借鉴意义.建设性新闻以积极的、具有建设性的方式来建构新闻,为精准扶贫主体报道研究提供了新视角,从十八洞村精准扶贫主体报道来看,在其所搭建的媒介时空中以国家符号在场、国家权力在场、国家关怀在场和国家恩情在场等方式体现了国家在场;在其建设性呈现方面,体现出了问题至上的价值指向和话语运用.

在众多宣传脱贫攻坚精神的扶贫剧中,《山海情》脱颖而出,备受观众喜爱.《山海情》的创作特色突出,创新了扶贫剧的表达范式.从叙事创新来看,《山海情》采用了真实的叙事空间、凝练的叙事时间和以矛盾为特色的叙事内容.从群体镜像来看,《山海情》塑造了扶贫干部、农村青年和贫困农民三类群体形象,传达了脱贫攻坚精神的具体内涵.从价值书写来看,《山海情》展现乡土中国,弘扬乡土文化;赞扬闽宁友谊,彰显制度优势;折射历史变迁,构建集体记忆.《山海情》用影像之美谱写了战胜贫困、追求美好的精神史诗.

抗美援朝主题影片《长津湖》实现了主流价值与商业元素的完美结合,以精彩剧情和良好口碑获得大众认可.在仪式化的观影体验下,大众沉浸于共同体想象中,集体记忆被唤醒.良好的观影体验助推个体将影视文本转化为情感符号,借助社交平台分享体验获得情感满足.通过对影片进行拆解和重构,媒体大量制造相关话题,影片影响力得到扩大.在影片传播过程中,应在传承民族集体记忆的基础上讲好中国故事;利用新兴媒介,实现多样化传播;挖掘衍生话题,实现影片内外联动;注重延续记忆,鼓励优秀影片"进校门"与"出国门".

随着媒介融合的不断深入,主流媒体自建传播平台成为当下"做强新型主流媒体"的一大实践,具有重要战略意义.与此同时,"媒介可供性"的概念引入传播学界后引起了研究者的广泛关注,在评价和考察新媒介方面具有极大的解释力.从生产可供性、社交可供性、传播可供性三个角度对"人民视频"网站及客户端平台的内容生产、媒介技术、传播终端等多个方面进行研究,分析主流媒体在传播平台建构中取得的成果,并对其内容、平台设计、用户体验等方面进行相应的反思,以期为主流媒体传播平台建设提供新思路.

后真相时代,受众对事实的判断易受主观心理因素影响,"后真相"谣言主体的模糊性、内容指向明确、传播速度快的特征,加剧了网络谣言的形成和演化.根据网络谣言的形成规律、传播模式,应加强预警,及时捕捉热点;全程监控,动态追踪发展态势;多举并重,协同消解网络谣言;总结反思,建构长效预防机制,从而实现对后真相时代网络谣言的有效治理.

县级融媒体中心建设已成为我国当前媒体融合工作的重点.针对县级融媒体中心的发展现状,根据格乌司原理,县级融媒体中心在内容方面应精确找准定位、深耕用户需求、立足本土特色、多元错位生产,基于"音频化+视频化""个性化+人性化"探索新媒介盈利模式,基于"媒体+"跨界融合模式整合产业资源.

融媒体背景下,舆论生态正在发生变化,针对横向和纵向、同质与异质、议题与话语的舆情应对联动模式的优势和挑战,需形成适应融媒体特质的联动机制,从而把握舆情引导主动权.

网络与新媒体的发展,用户参与网络形式和内容呈现多元化,也导致了多样化数据的产生,非结构化舆情数据及相互关系的处理已成为必然,这与传统结构化或同构舆情数据处理相比,在方法和技术方面都存在巨大挑战和困难.针对不断增多的热点事件网络舆情异构及非结构化数据,研究中通过引入人工智能理论和技术,提出了跨媒体网络舆情数据智能分析与处理方法,分析了该方法中传播机理探索、大数据智能检索技术创新、话题智能识别与追踪、内容热度智能预测、大数据情感智能分析、长数据智能存储等六个研究方向和技术实践思路.多元数据背景下,跨媒体网络舆情数据智能分析与处理的研究和实践,能够支持网络舆情监测系统性能的提升,以及舆情全面、精准的分析和应对.

For the problems of low accuracy and high complexity in detection of gradual shot boundary and long shot, a new video shot boundary detection algorithm based on feature fusion and clustering technique (FFCT) is proposed. In the algorithm, the interval frames of video sequence are selected, converted to gray images and scaled by sampling. With the frames, the speed-up robust features (SURF) and fingerprint features are extracted from non-compressed domain and compressed domain, and then the extracted features are fused. Next, K-means method is used to cluster the fused features, and linear discriminant analysis (LDA) is introduced to map the clusters to realize cohesion within classes and looseness among classes. Finally, the correlation of the feature classes between frames is calculated, and the features in each class are selected through density calculation and matched to realize the coarse detection and fine detection of video shot boundary. In the experiment, compared with the latest representative algorithms, it has the highest accuracy for the proposed algorithm. In particular, the detection of gradual shot boundary and long shot are also more accurate. Meanwhile, the average time consumption is also reduced. The experimental results show that the proposed algorithm has high accuracy and time efficiency, especially for gradual shot boundary and long shot detection.

参与式传播是当今新闻传播学的热点方向,其在新媒体环境下的发展和应用不仅体现了传播方式的创新,更昭示着传播理论思维的革新.从仪式传播观的角度来看,参与式传播也是一种媒介仪式,在传播过程中借助象征性符号发挥着协同时空、引发共鸣、凝聚情感和增强传播效果的作用.作为具有典型互动性特征的传播方式,基于新媒体的参与式传播满足了受众的参与需求,受众通过参与式传播完成虚拟认同实践,实现情感归属满足、自我赋权和价值观共享,强化了个体的民族情感和国家认同.同时,参与式传播也应坚持传统媒体的话语权地位、设置分众性主体细分参与者、防止形式主义和过度重复、提升融媒体应用能力.

In order to achieve content-based binocular stereoscopic image or video retrieval efficiently, a feature indexing algorithm based on hybrid grid multiple suffix tree and hierarchical clustering is proposed. With the RGB-D image model, the shape features of depth map obtained from the matching of binocular stereoscopic left image and right image and the color features of left image are extracted respectively. The features are quantified and hashed, and the optimized underlying features are sorted as leaf nodes of hierarchical indexing. Then the shape and color feature values of leaf nodes are mapped to the two-dimensional coordinates, and the 2D feature points are put into different grid hash areas respectively by clustering and labeled with multiple suffix tree. Furthermore, to construct the global index, a pointer to an array of clustering grid center point is defined according to the computation of grid area feature values. The experimental results show that compared to the double grid suffix tree and typical stereoscopic image feature indexing structure, the proposed algorithm can effectively reduce the indexing construction complexity While maintaining high recall, it can also greatly improve the query efficiency, which can better realize the feature indexing of binocular stereoscopic images or videos.

Compared with the two-dimensional video, there are differences in cataloging and storage of stereo video. It is not conducive to acquisition and utilization accurately using the cataloging and storage method of two-dimensional video. In order to solve the problem of low efficiency in utilization caused by lacking of typical features and incomprehensive of file description, the cataloging and storage of binocular stereo video resources are studied. The special cataloging items of binocular stereo video resources are explored and analyzed, and the mode of storage is also explored. On this basis, a stereo vision resource management system is designed and developed, and the cataloging and storage of binocular stereo video resources are realized. The system can effectively realize the management of binocular stereo video resources, and improve the pertinence, accuracy and efficiency of acquisition and utilization.

近年来,短视频发展如火如荼,借助短视频进行场景营销成为企业的有力武器.利用短视频所创造的全新场景进行营销,不但降低了营销成本,还使得营销效果大大提升,其具有传统营销方式所无法比拟的优势.本文以抖音短视频为例,对移动互联网时代短视频场景营销特点、模式等进行分析,以期为运营者提供参考借鉴.

2013年以来,扶贫工作取得了突出成果,为全面脱贫攻坚打下了坚实基础,相关新闻报道也层出不穷,其中人物报道所展现出的榜样作用更是激励精准扶贫前行的重要力量.在融媒体视域下,如何做好典型人物报道,至关重要.本研究中对典型人物报道的特点和意义、存在的问题、新需求进行了分析,并提出了融媒体环境下典型人物报道策略,目的是更好地实现融媒体新环境下典型人物报道.

新媒体时代,以社交媒体、自媒体等互联网新兴媒体为代表的民间舆论场正在分流以党报、国家通讯社、国家电视台为代表的官方舆论场的话语权.然而,民间舆论场往往缺少持续性、目的性和组织性的意见表达,难以引导社会的价值走向.因此,官方舆论场应主动贴近民间舆论场,洞悉意见气候,建构话语体系与符号意义表达的亲民化、时代化;借助新兴媒体平台发力,短视频作品兼顾教育性与趣味性.同时,通过提升内容源动力、价值核心力、实时传达力、技术推动力与传播生命力增强自身影响力,拓展、延伸官方舆论场,最终实现两个舆论场的有机融合,构建和谐、健康、可持续发展的舆论生态.

随着精准扶贫的深入开展,人们对于扶贫进展、扶贫效果的关注度不断提升.同时,社交媒体、移动新闻客户端等互联网媒体的迅速发展,也为精准扶贫相关信息的传播提供了便捷,引发了网民越来越多的关注和讨论,致使网络舆情处于不断增长的状态.进行有效的舆情引导,已经成为政府及相关部门更好地开展扶贫工作的重要组成部分.研究中结合精准扶贫过程中产生的一些网络舆情案例,归纳了精准扶贫网络舆情的特征,分析了引导的现实意义及挑战,并提出了引导的策略建议,从而支持精准扶贫网络真情科学有效应对和危机化解.

本文结合实际案例分析了短视频平台流量变现的可能性、形式及特点,探讨存在问题并给出相关建议,从而促进短视频平台的良好有序发展.

Retrieval result re-ranking is one of the keys of content-based video retrieval and presentation. In order to better realize the display and location of returned stereo video clips, a re-ranking method of stereo video clip retrieval based on clustering and density is proposed to solve the problems of low accuracy in re-ranking and low efficiency in retrieval. According to the similarity of content, the similar clustering is implemented firstly in the method, and the correlation among classes is calculated, so the clustering ranking can be realized according to the correlation. Then, the density is calculated within the classes to measure the similarity between the elements in each class and the query clip, so as to achieve density-based ranking. In the experiment, compared with the situation without re-ranking, it can better meet the user’s needs of browsing in similarity order. The experimental results show that the method can achieve better re-ranking in retrieval results of stereo video clips.

新媒体环境下,网络成为人们获取信息、表达意见的重要渠道,由于网民、网络媒体、政府部门与网络信息传播规则之间存在着矛盾,因而在网络舆情热点传播过程中会产生反转.以榆林产妇坠楼事件为例,基于博弈论的原理,研究分析了反转网络舆情博弈主体和博弈过程,并提出了传播引导策略.目的是实现不同主体间顺畅的沟通和理解,从而促使网络舆情的有效应对和网络环境的优化.