{"title":"Content-based video retrieval and compression: a unified solution","authors":"HongJiang Zhang, John Y. A. Wang, Y. Altunbasak","doi":"10.1109/ICIP.1997.647372","DOIUrl":null,"url":null,"abstract":"Video compression and retrieval have been treated as separate problems in the past. We present an object-based video representation that facilitates both compression and retrieval. Typically in retrieval applications, a video sequence is subdivided in time into a set of shorter segments each of which contains similar content. These segments are represented by 2-D representative images called \"key-frames\" that greatly reduce amount of data that is searched. However, key-frames do not describe the motions and actions of objects within the segment. We propose a representation that extends the ideas of the key-frame to further include what we define as \"key-objects\". These key-objects consist of regions within a key-frame that move with similar motion. Thus our key-objects allow a retrieval system to more efficiently present information to users and assist them in browsing and retrieving relevant video content.","PeriodicalId":92344,"journal":{"name":"Computer analysis of images and patterns : proceedings of the ... International Conference on Automatic Image Processing. International Conference on Automatic Image Processing","volume":"72 1","pages":"13-16 vol.1"},"PeriodicalIF":0.0000,"publicationDate":"1997-10-26","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"99","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Computer analysis of images and patterns : proceedings of the ... International Conference on Automatic Image Processing. International Conference on Automatic Image Processing","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/ICIP.1997.647372","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 99
Abstract
Video compression and retrieval have been treated as separate problems in the past. We present an object-based video representation that facilitates both compression and retrieval. Typically in retrieval applications, a video sequence is subdivided in time into a set of shorter segments each of which contains similar content. These segments are represented by 2-D representative images called "key-frames" that greatly reduce amount of data that is searched. However, key-frames do not describe the motions and actions of objects within the segment. We propose a representation that extends the ideas of the key-frame to further include what we define as "key-objects". These key-objects consist of regions within a key-frame that move with similar motion. Thus our key-objects allow a retrieval system to more efficiently present information to users and assist them in browsing and retrieving relevant video content.