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1.
基于内容的视频检索关键技术研究   总被引:3,自引:1,他引:2  
朱爱红  李连 《情报杂志》2004,23(1):45-47
主要讨论基于内容的视频检索技术研究中一些关键问题:镜头分割,关键帧的提取,视频检索,相关性反馈等。展望了视频检索技术的发展前景。  相似文献   

2.
对视频数据模型、视频结构化、镜头聚类和场景提取、视频索引和浏览等基于内容的视频检索关键技术的当前研究现状做了深入地分析,并总结了基于内容的视频检索关键技术当前研究中存在的问题以及其研究的未来发展趋势。  相似文献   

3.
视频图像检索研究进展   总被引:2,自引:0,他引:2  
王莲  张学福 《现代情报》2005,25(4):43-45
图像检索在信息检索领域是研究热点之一,论文从视频数据的基本组成部分,镜头的切换、运动和检测。镜头内容表示和目标切割等方面对视频图像检索进行了较全面的论述。  相似文献   

4.
基于内容的视频检索中的镜头分割技术   总被引:7,自引:1,他引:6  
朱爱红  李连 《情报杂志》2004,23(3):66-68
简要介绍了基于内容的视频检索,给出了主要实现步骤,着重论述了几种常用的镜头分割技术。  相似文献   

5.
数字图书馆多媒体信息检索技术及发展   总被引:4,自引:0,他引:4  
柳群英 《情报杂志》2004,23(6):72-73,76
讨论了数字图书馆多媒体信息检索中基于内容的文本、图像、音频、视频检索技术,介绍了信息检索的研究方向一智能检索和数据挖掘技术。  相似文献   

6.
网络环境下的信息检索技术   总被引:11,自引:1,他引:10  
柳群英 《现代情报》2003,23(9):76-78
讨论了网络环境下数字图书馆信息检索中基于内容的文本、图形图像、音频、视频检索技术,介绍了信息检索的研究方向-智能检索和数据挖掘技术。  相似文献   

7.
数字图书馆中基于内容的视频检索   总被引:3,自引:0,他引:3  
王翠英 《情报科学》2004,22(10):1246-1249
视频检索不同于纯文本检索,基于内容的视频检索是当前的一个研究热点,本文讨论了在MPEG-7标准框架下建立基于内容的视频索引和检索方法。  相似文献   

8.
随着电视台节目内容不断丰富,电视台视频档案量正在不断增长。如何对视频档案进行管理,提高视频档案的利用率,是媒资管理系统的关键。本文总结了媒资管理系统中关键技术发展的新动向,结合相关研究,提出了基于工作流的视频管理系统技术,以镜头分类为主的检索系统的设计,视频档案再利用及盈利方式,从管理、检索和运营三个层面对视频档案管理提出了建议。  相似文献   

9.
关键帧提取算法技术是视频检索的一个重要研究方向。文章提出基于层次聚类和图中心提取关键帧的算法,该算法是将组成镜头的图像帧看作图中的结点,在图的结点中,找到最能代表所有结点的那几个点,同时尽量避免冗余。根据这个思想,采用图的思想来解决提取关键帧的问题。实验表明,该方法能较好的提取关键帧,减少关键帧的冗余度,提高关键帧的代表性。  相似文献   

10.
基于内容的图像信息检索综述   总被引:13,自引:0,他引:13  
刘伟成  孙吉红 《情报科学》2002,20(4):431-433,437
基于内容的图像检索技术,即从大量的静止或活动视频图像库中检索包含目标物体的图像(或视频片段),在高度信息化的今天,已成为内容图像库中图像信息组织和管理不可缺少的技术,本文介绍了基于内容检索技术的进展,并对其主要方法如基于颜色、形状、纹理等静止图像检索技术以及视频检索技术进行了讨论。  相似文献   

11.
提出了一个基于关键区域色彩矩阵的视频镜头检测方法,详细地描述了这种方法的原理,并比较了该方法与其它方法的优缺点,最后阐释了该方法在视频内容检索系统中的运行策略。  相似文献   

12.
The problem of content-based video retrieval continues to pose a challenge to the research community, the performance of video retrieval systems being low due to the semantic gap. In this paper we consider whether taking advantage of context can aid the video retrieval process by making the prediction of relevance easier, i.e. if it is easier for a classification system to predict the relevance of a video shot under a given context, then that context has potential in also improving retrieval, since the underlying features better differentiate relevant from non-relevant video shots. We use an operational definition of context, where datasets can be split into disjoint sub-collections which reflect a particular context. Contexts considered include task difficulty and user expertise, among others. In the classification process, four main types of features are used to represent video-shots: conventional low-level visual features representing physical properties of the video shots, behavioral features which are based on user interaction with the video shots, and two different bag-of-words features obtained from the Automatic Speech Recognition from the audio of the video.  相似文献   

13.
In recent times, exploration of multimedia required ever increasing demand and application for intelligent video retrieval from repositories. This paper presents an efficient video retrieval framework by employing the effective singular value decomposition and computationally low complex ordered dither block truncation coding to extract simple, compact, and well discriminative Color Co-occurrence Feature (CCF). In this context, the occurrence probability of a video frame pixel in the neighborhood is employed to formulate this specific and distinct feature. Moreover, we applied a new adaptive low rank thresholding based on energy concentricity, transposition, and replacement invariance characteristics to formulate a unified fast shot boundary detection approach to solve the protuberant bottleneck problem for real-time cut and gradual transition that eventually contributes for effective keyframes extraction. Therefore, we can assert that the keyframes are distinct and discriminative to represent the whole video content. For effective indexing and retrieval, it is imperative to formulate similarity score evaluator for the encapsulated contextual video information with substantial temporal consistency, least computation, and post-processing. Therefore, we introduced graph-based pattern matching for video retrieval with an aim to sustain temporal consistency, accuracy and time overhead. Experimental results signify that the proposed method on average provides 7.40% and 17.91% better retrieval accuracy and 23.21% and 20.44% faster than the recent state-of-the-art methods for UCF11 and HMDB51 standard video dataset, respectively.  相似文献   

14.
As an information medium, video offers many possible retrieval and browsing modalities, far more than text, image or audio. Some of these, like searching the text of the spoken dialogue, are well developed, others like keyframe browsing tools are in their infancy, and others not yet technically achievable. For those modalities for browsing and retrieval which we cannot yet achieve we can only speculate as to how useful they will actually be, but we do not know for sure. In our work we have created a system to support multiple modalities for video browsing and retrieval including text search through the spoken dialogue, image matching against shot keyframes and object matching against segmented video objects. For the last of these, automatic segmentation and tracking of video objects is a computationally demanding problem which is not yet solved for generic natural video material, and when it is then it is expected to open up possibilities for user interaction with objects in video, including searching and browsing. In this paper we achieve object segmentation by working in a closed domain of animated cartoons. We describe an interactive user experiment on a medium-sized corpus of video where we were able to measure users’ use of video objects versus other modes of retrieval during multiple-iteration searching. Results of this experiment show that although object searching is used far less than text searching in the first iteration of a user’s search it is a popular and useful search type once an initial set of relevant shots have been found.  相似文献   

15.
陈芬  赖茂生 《情报科学》2007,25(1):121-124
用户策略研究是检索领域需要考虑的重要问题之一。在这篇论文中,笔者首先介绍了国外研究视频检索系统用户策略的一个实验。然后,笔者将该实验得到的一些结论与一般的检索系统相比较。最后,笔者指出了视频检索系统设计应该注意的一些问题。  相似文献   

16.
基于文本信息的数字视频检索研究   总被引:6,自引:0,他引:6  
严明  秦嘉杭 《情报科学》2004,22(7):865-869
基于文本信息实现数字视频信息的检索,既符合一般用户的检索习惯,又可借助日趋成熟的文本检索技术。本文将从数字视频信息的检索需求入手,研究数字视频信息的文本描述方法以及需要解决的问题,并给出了一个基于文本信息的数字视频索引与检索模型。  相似文献   

17.
视频信息检索技术的发展及应用   总被引:4,自引:0,他引:4  
今天视频检索的重要性已经越来越被人们所重视。本文总结了视频信息检索技术的发展历程、技术特点及国内外应用现状,最后预测了未来的发展趋势。  相似文献   

18.
In this paper, we present ViGOR (Video Grouping, Organisation and Recommendation), an exploratory video retrieval system. Exploratory video retrieval tasks are hampered by the lack of semantics associated to video and the overwhelming amount of video items stored in these types of collections (e.g. YouTube, MSN video, etc.). In order to help facilitate these exploratory video search tasks we present a system that utilises two complementary approaches: the first a new search paradigm that allows the semantic grouping of videos and the second the exploitation of past usage history in order to provide video recommendations. We present two types of recommendation techniques adapted to the grouping search paradigm: the first is a global recommendation, which couples the multi-faceted nature of explorative video retrieval tasks with the current user need of information in order to provide recommendations, and second is a local recommendation, which exploits the organisational features of ViGOR in order to provide more localised recommendations based on a specific aspect of the user task. Two user evaluations were carried out in order to (1) validate the new search paradigm provided by ViGOR, characterised by the grouping functionalities and (2) evaluate the usefulness of the proposed recommendation approaches when integrated into ViGOR. The results of our evaluations show (1) that the grouping, organisational and recommendation functionalities can result in an improvement in the users’ search performance without adversely impacting their perceptions of the system and (2) that both recommendation approaches are relevant to the users at different stages of their search, showing the importance of using multi-faceted recommendations for video retrieval systems and also illustrating the many uses of collaborative recommendations for exploratory video search tasks.  相似文献   

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