基于颜色和边缘特征的新闻视频标题条检测和文字识别

提出了一种基于颜色和边缘特征的新闻视频标题条检测和文字识别方法.该方法首先利用颜色和边缘特征检测出新闻视频中含有标题条的帧,然后由先验知识得出标题条帧中的字幕区域,对字幕区域进行预处理和光学字符识别(OCR),得到文字内容.实验结果表明该方法具有较高的查全率和查准率.     

一种基于形态学操作的新闻标题条检测算法

该文提出一种基于形态学操作的新闻标题检测算法。该方法利用了新闻标题条出现的时空特征,在镜头分割的基础上,采取了分类处理的方式和形态学的滤波操作,实现了对渐变标题的检测和在全局变化剧烈情况下的标题检测,并具有定位准确、规范化的特点。利用MPEG-7测试数据集进行的实验验证了该算法的优越性。     

新闻视频检索技术的研究

新闻视频字幕是新闻视频数据中所包含的固有信息，是实现自动化视频检索的重要信息源，运用X^2直方图匹配法检测突变镜头，再通过C-均值聚类算法标识出新闻字幕，可以准确提取出新闻字幕，利用新闻视频字幕进行新闻视频检索，可以克服现有硬件设备的局限性，提高检索的速度和准确性，进而提高数字电视的人机交互性。     

广告段落分割系统中的字幕检测

分析了视频节目中字幕视频的特点,提出了一种基于Sobel算子边缘检测的字幕检测方法,对实验结果进行分析,实验结果表明,该方法可有效检测视频序列中的字幕片段。     

人工鱼群优化最小二乘支持向量机的视频字幕定位

征选择是视频字幕定位的关键,为了提高视频字幕定位正确率,提出一种人工鱼群算法(AFSA)和最小二乘支持向量机(LSSVM)相融合的视频字幕定位模型(AFSA-LSSVM)。首先提取视频字幕特征,然后通过模拟鱼群的觅食、聚群及追尾行为找到最优视频字幕特征子集,最后采用LSSVM建立最优视频字幕定位模型,并进行仿真对比实验。结果表明,相对其它视频字幕定位模型,AFSA-LSSVM提高了视频字幕定位正确率和效率,可为后续视频内容的安全分析提供技术支持.     

视频帧中字幕信息提取的区域检测算法研究

从影视字幕中获取相应的文本,可为影视节目的内容检索提供一种重要的手段.针对从视频数据中截取下来的帧数据,对灰度化后的彩色单帧视频中的字幕分割方法进行了探讨,提出了区域检测算法的处理方案,实验结果表明用该方法获取文本信息是合理有效的.     

基于Prewitt算子的新闻字幕检测

新闻视频的标题字幕中包含有丰富的语义信息,是实现自动化视频检索、分析和理解的重要信息源之一。通过对新闻字幕的特点进行分析,文章提出了一种基于Prewitt算子的新闻字幕检测的方法。算法首先对图像进行灰度变换,然后利用Prewitt算子进行边缘检测,最后进行字幕区域的探测与合并,检测出字幕。通过对不同的新闻视频帧进行实验,获得了较高的探测准确率。试验证明,文章提出的方法能够较好的完成新闻字幕检测的任务。     

全自动中文新闻字幕生成系统的设计与实现

本文设计与实现了一个全自动中文新闻字幕生成系统,输入为新闻视频,输出为视频对应的字幕文本.以<新闻联播>为语料,实现了音频提取、音频分类与切分、说话人识别、大词汇量连续语音识别、视频文件的播放和文本字幕的自动生成等多项功能.新闻字幕的自动生成,避免了繁重费时的人工字幕添加过程.实验表明,该系统识别率高,能够满足听障等特...     

新闻视频单元高效切分方法的研究与实现

提出了一个基于口播检测的高效新闻视频单元切分方法。该方法首先检测出新闻视频的镜头边界;然后从每个镜头中提取出关键帧,并计算出关键帧的直方图和SIFT特征;最后通过关键帧聚类获取新闻视频中的所有口播镜头,并以此为依据将新闻视频分割成多个语义单元。基于以上方法,开发了用于新闻视频单元切分的软件系统。该系统能够准确、高效地实现新闻单元的自动切分,有效地减轻视频切分时的工作强度,满足新媒体时代节目快速制作的要求。     

Low‐Complexity MPEG‐4 Shape Encoding towards Realtime Object‐Based Applications

Although frame‐based MPEG‐4 video services have been successfully deployed since 2000, MPEG‐4 video coding is now facing great competition in becoming a dominant player in the market. Object‐based coding is one of the key functionalities of MPEG‐4 video coding. Realtime object‐based video encoding is also important for multimedia broadcasting for the near future. Object‐based video services using MPEG‐4 have not yet made a successful debut due to several reasons. One of the critical problems is the coding complexity of object‐based video coding over frame‐based video coding. Since a video object is described with an arbitrary shape, the bitstream contains not only motion and texture data but also shape data. This has introduced additional complexity to the decoder side as well as to the encoder side. In this paper, we have analyzed the current MPEG‐4 video encoding tools and proposed efficient coding technologies that reduce the complexity of the encoder. Using the proposed coding schemes, we have obtained a 56 percent reduction in shape‐coding complexity over the MPEG‐4 video reference software (Microsoft version, 2000 edition).     

Sensorial Information Extraction and Mapping to Generate Temperature Sensory Effects

In this paper, a method to extract temperature effect information using the color temperatures of video scenes with mapping to temperature effects is proposed to author temperature effects of multiple sensorial media content automatically. An authoring tool to apply the proposed method is also introduced. The temperature effects generated by the proposed method are evaluated by a subjective test to measure the level of satisfaction. The mean opinion score results show that most of the test video sequences receive an average of approximately four points (in a five‐point scale), indicating that test video sequences (with the temperature effects generated by the proposed method) enhance levels of satisfaction.     

Web video classification with visual and contextual semantics

On the social Web, the amount of video content either originated from wireless devices or previously received from media servers has increased enormously in the recent years. The astounding growth of Web videos has stimulated researchers to propose new strategies to organize them into their respective categories. Because of complex ontology and large variation in content and quality of Web videos, it is difficult to get sufficient, precisely labeled training data, which causes hindrance in automatic video classification. In this paper, we propose a novel content‐ and context‐based Web video classification framework by rendering external support through category discriminative terms (CDTs) and semantic relatedness measure (SRM). Mainly, a three‐step framework is proposed. Firstly, content‐based video classification is proposed, where twofold use of high‐level concept detectors is leveraged to classify Web videos. Initially, category classifiers induced from VIREO‐374 detectors are trained to classify Web videos, and then concept detectors with high confidence for each video are mapped to CDT through SRM‐assisted semantic content fusion function to further boost the category classifiers, which intuitively provide a more robust measure for Web video classification. Secondly, a context‐based video classification is proposed, where twofold use of contextual information is also harnessed. Initially, cosine similarity and then semantic similarity are measured between text features of each video and CDT through vector space model (VSM)‐ and SRM‐assisted semantic context fusion function, respectively. Finally, classification results from content and context are fused to compensate for the shortcomings of each other, which enhance the video classification performance. Experiments on large‐scale video dataset validate the effectiveness of the proposed solution.     

Data hiding in partially encrypted HEVC video

In this study, an efficient scheme for hiding data directly in partially encrypted versions of high efficiency video coding (HEVC) videos is proposed. The content owner uses stream cipher to selectively encrypt some HEVC‐CABAC bin strings in a format‐compliant manner. Then, the data hider embeds the secret message into the encrypted HEVC videos using the specific coefficient modification technique. Consequently, it can be used in third‐party computing environments (more generally, cloud computing). For security and privacy purposes, service providers cannot access the visual content of the host video. As the coefficient is only slightly modified, the quality of the decrypted video is satisfactory. The encrypted and marked bitstreams meet the requirements of format compatibility, and have the same bit rate. At the receiving end, data extraction can be performed in the encrypted domain or decrypted domain that can be adapted to different application scenarios. Several standard video sequences with different resolutions and contents have been used for experimental evaluation.     

一种基于XML的隐藏字幕的数据交换格式

隐藏字幕是国家最新推出字幕与节目画面分离播出的技术标准。本文着重研究隐藏字幕在电视台内部进行存储和数据交换时数据格式。本文在分析了隐藏字幕的组成结构的基础上,提出了字幕语句的新概念,并指出三种语句的不同用法。并在此基础上设计了基于XML的隐藏字幕的数据交换格式CCDXF。经过实验证明,CCDXF文件完全可以在MXF中嵌入、传输和解析,为隐藏字幕的数据交换提供了一种台内的数据交换方法。     

Efficient Media Synchronization Mechanism for SVC Video Transport over IP Networks

The scalable extension of H.264, known as scalable video coding (SVC) has been the main focus of the Joint Video Team's work and was finalized at the end of 2007. Synchronization between media is an important aspect in the design of a scalable video streaming system. This paper proposes an efficient media synchronization mechanism for SVC video transport over IP networks. To support synchronization between video and audio bitstreams transported over IP networks, a real‐time transport protocol/RTP control protocol (RTP/RTCP) suite is usually employed. To provide an efficient mechanism for media synchronization between SVC video and audio, we suggest an efficient RTP packetization mode for inter‐layer synchronization within SVC video and propose a computationally efficient RTCP packet processing method for inter‐media synchronization. By adopting the computationally simple RTCP packet processing, we do not need to process every RTCP sender report packet for inter‐media synchronization. We demonstrate the effectiveness of the proposed mechanism by comparing its performance with that of the conventional method.     

Managing QoS requirements for video streaming: from intra‐node to inter‐node

Streaming video over IP networks has become increasingly popular; however, compared to traditional data traffic, video streaming places different demands on quality of service (QoS) in a network, particularly in terms of delay, delay variation, and data loss. In response to the QoS demands of video applications, network techniques have been proposed to provide QoS within a network. Unfortunately, while efficient from a network perspective, most existing solutions have not provided end‐to‐end QoS that is satisfactory to users. In this paper, packet scheduling and end‐to‐end QoS distribution schemes are proposed to address this issue. The design and implementation of the two schemes are based on the active networking paradigm. In active networks, routers can perform user‐driven computation when forwarding packets, rather than just simple storing and forwarding packets, as in traditional networks. Both schemes thus take advantage of the capability of active networks enabling routers to adapt to the content of transmitted data and the QoS requirements of video users. In other words, packet scheduling at routers considers the correlation between video characteristics, available local resources and the resulting visual quality. The proposed QoS distribution scheme performs inter‐node adaptation, dynamically adjusting local loss constraints in response to network conditions in order to satisfy the end‐to‐end loss requirements. An active network‐based simulation shows that using QoS distribution and packet scheduling together increases the probability of meeting end‐to‐end QoS requirements of networked video. Copyright © 2005 John Wiley & Sons, Ltd.     

A Personal Videocasting System with Intelligent TV Browsing for a Practical Video Application Environment

In this paper, a video broadcasting system between a home‐server‐type device and a mobile device is proposed. The home‐server‐type device can automatically extract semantic information from video contents, such as news, a soccer match, and a baseball game. The indexing results are utilized to convert the original video contents to a digested or arranged format. From the mobile device, a user can make recording requests to the home‐server‐type devices and can then watch and navigate recorded video contents in a digested form. The novelty of this study is the actual implementation of the proposed system by combining the actual IT environment that is available with indexing algorithms. The implementation of the system is demonstrated along with experimental results of the automatic video indexing algorithms. The overall performance of the developed system is compared with existing state‐of‐the‐art personal video recording products.     

Video News Releases and the Public: The Impact of Source Labeling on the Perceived Credibility of Television News

Observers of the television news business have suggested that public judgments of the credibility of news stories and the news industry would suffer if audiences knew that external sources routinely provided story content. An experiment examined whether on‐screen labels identifying externally supplied video news release (VNR) content in television news can affect audience perceptions of the credibility of the news and the VNR provider. The results suggest that news audiences might not use the presence of VNR content in evaluations of news stories, news programs, and VNR producers. However, there is evidence that news audiences are concerned about the use of VNR content and support the use of labels.     

媒资管理系统中新闻节目高效检索的研究

提出了一种基于多特征融合的新闻节目高效检索方法.该方法充分利用媒资管理系统中新闻视频的文字描述和关键帧的图像特征,能够实现视频节目快速、准确的检索,提升新闻检索的性能.将文字描述、人脸和场景图像作为搜索项,通过Fisherfaces和LBP算子相结合的人脸识别算法,以及基于重要性加权的局部直方图匹配算法,实现样例图像与关键帧的匹配.实验结果表明,该方法能够提升媒资管理系统中新闻节目检索的准确度和效率,满足新媒体时代节目快速制作和发布的要求.     

Effective Admission Policy for Multimedia Traffic Connections over Satellite DVB‐RCS Network

Thanks to the great possibilities of providing different types of telecommunication traffic to a large geographical area, satellite networks are expected to be an essential component of the next‐generation internet. As a result, issues concerning the designing and testing of efficient connection‐admission‐control (CAC) strategies in order to increase the quality of service (QoS) for multimedia traffic sources, are attractive and at the cutting edge of research. This paper investigates the potential strengths of a generic digital‐video‐broadcasting return‐channel‐via‐satellite (DVB‐RCS) system architecture, proposing a new CAC algorithm with the aim of efficiently managing real‐time multimedia video sources, both with constant and high variable data rate transmission; moreover, the proposed admission strategy is compared with a well‐known iterative CAC mainly designed for the managing of real‐time bursty traffic sources in order to demonstrate that the new algorithm is also well suited for those traffic sources. Performance analysis shows that, both algorithms guarantee the agreed QoS to real‐time bursty connections that are more sensitive to delay jitter; however, our proposed algorithm can also manage interactive real‐time multimedia traffic sources in high load and mixed traffic conditions.