Proceedings Eighth International Workshop on Research Issues in Data Engineering. Continuous-Media Databases and Applications最新文献_第2页

A topological-directional model for the spatio-temporal composition of video objects 视频对象时空合成的拓扑定向模型

Proceedings Eighth International Workshop on Research Issues in Data Engineering. Continuous-Media Databases and Applications Pub Date : 1998-02-23 DOI: 10.1109/RIDE.1998.658274

N. Pissinou, I. Radev, K. Makki, W. Campbell

{"title":"A topological-directional model for the spatio-temporal composition of video objects","authors":"N. Pissinou, I. Radev, K. Makki, W. Campbell","doi":"10.1109/RIDE.1998.658274","DOIUrl":"https://doi.org/10.1109/RIDE.1998.658274","url":null,"abstract":"A key characteristic of video data is their associated spatial and temporal semantics. It is therefore important that a video model, does not only model the characteristics of objects but also their relationships in time and space. In view of this, the purpose of our work is to design a model for the specification of the spatio-temporal relationships among objects in video sequences. The model does not only describe the spatial relationships among objects for each frame in a given video scene, but also the temporal relations of the spatial relationships for each frame in terms of the relations between two temporal intervals. Subsequently it models the temporal composition of an object, which reflects the evolution of object spatial relationships over the subsequent frames in the video segment, as well as in the whole video sequence. In addition to the spatio-temporal relationships our model also provides an effective and expressive way for the complete and precise representation of distances among objects in digital video. This model is a basis for the annotation of raw video.","PeriodicalId":199347,"journal":{"name":"Proceedings Eighth International Workshop on Research Issues in Data Engineering. Continuous-Media Databases and Applications","volume":"17 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"1998-02-23","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"134078226","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 9

On fuzzy clustering and content based access to networked video databases 模糊聚类与基于内容的网络视频数据库访问

Proceedings Eighth International Workshop on Research Issues in Data Engineering. Continuous-Media Databases and Applications Pub Date : 1998-02-23 DOI: 10.1109/RIDE.1998.658277

A. Joshi, S. Auephanwiriyakul, R. Krishnapuram

{"title":"On fuzzy clustering and content based access to networked video databases","authors":"A. Joshi, S. Auephanwiriyakul, R. Krishnapuram","doi":"10.1109/RIDE.1998.658277","DOIUrl":"https://doi.org/10.1109/RIDE.1998.658277","url":null,"abstract":"Video databases and video on demand represent an important application of the evolving global information infrastructure. However, video querying involves a lot of user interaction and feedback based query refinement, which can generate large traffic volumes on the network if full video segments are sent. To aid in efficient video browsing, search and retrieval across the network, we need to find good compact representations for long video sequences. Representative frames (Rframes) provide such a representation. Extant algorithms use scene change detection to segment video into shots and pick Rframes. However, scene change detection techniques fail badly in presence of gradual scene changes which are quite prevalent in most videos. We present another way of finding Rframes using fuzzy clustering without dealing with any scene change detection algorithms. Fuzzy clusters provide a more natural approach to this problem since membership of a frame in some particular scene is not binary. This allows us to handle gradual scene changes. We report on our approach, present preliminary experimental results, and discuss ongoing work.","PeriodicalId":199347,"journal":{"name":"Proceedings Eighth International Workshop on Research Issues in Data Engineering. Continuous-Media Databases and Applications","volume":"73 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"1998-02-23","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"133565603","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 24

Processing M-trees with parallel resources 用并行资源处理m树

Proceedings Eighth International Workshop on Research Issues in Data Engineering. Continuous-Media Databases and Applications Pub Date : 1998-02-23 DOI: 10.1109/RIDE.1998.658289

P. Zezula, P. Savino, F. Rabitti, Giuseppe Amato, P. Ciaccia

引用次数: 26

Object delivery in distributed continuous media servers 分布式连续媒体服务器中的对象交付

Proceedings Eighth International Workshop on Research Issues in Data Engineering. Continuous-Media Databases and Applications Pub Date : 1998-02-23 DOI: 10.1109/RIDE.1998.658283

M. Alshayeji, C. Shahabi

引用次数: 0

Generating hypermedia documents from transcriptions of television programs using parallel text alignment 使用平行文本对齐从电视节目的转录生成超媒体文档

Proceedings Eighth International Workshop on Research Issues in Data Engineering. Continuous-Media Databases and Applications Pub Date : 1998-02-23 DOI: 10.1109/RIDE.1998.658275

D. Gibbon

{"title":"Generating hypermedia documents from transcriptions of television programs using parallel text alignment","authors":"D. Gibbon","doi":"10.1109/RIDE.1998.658275","DOIUrl":"https://doi.org/10.1109/RIDE.1998.658275","url":null,"abstract":"This paper presents a method of automatically creating hypermedia documents from conventional transcriptions of television programs. Using parallel text alignment techniques, the temporal information derived from the closed caption signal is exploited to convert the transcription into a synchronized text stream. Given this text stream, we can create links between the transcription and the image and audio media streams. We describe a two-pass method for aligning parallel texts that first uses dynamic programming techniques to maximize the number of corresponding words (by minimizing the word edit distance). The second stage converts the word alignment into a sentence alignment, taking into account the cases of sentence split and merge. We present results of text alignment on a database of 610 programs (including three television news programs over a one-year period) for which we have closed caption, transcript, audio and image streams. The techniques presented can produce high quality hypermedia documents of video programs with little or no additional manual effort.","PeriodicalId":199347,"journal":{"name":"Proceedings Eighth International Workshop on Research Issues in Data Engineering. Continuous-Media Databases and Applications","volume":"24 9 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"1998-02-23","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"126842930","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 17