Proceedings IEEE Workshop on Content-Based Access of Image and Video Libraries (CBAIVL 2001)最新文献

A fast image segmentation algorithm for interactive video hotspot retrieval 交互式视频热点检索的快速图像分割算法

Proceedings IEEE Workshop on Content-Based Access of Image and Video Libraries (CBAIVL 2001) Pub Date : 2001-12-14 DOI: 10.1109/IVL.2001.990849

Tiecheng Liu, J. Kender, R. Hjelsvold, A. Pizano

{"title":"A fast image segmentation algorithm for interactive video hotspot retrieval","authors":"Tiecheng Liu, J. Kender, R. Hjelsvold, A. Pizano","doi":"10.1109/IVL.2001.990849","DOIUrl":"https://doi.org/10.1109/IVL.2001.990849","url":null,"abstract":"This paper presents a fast image segmentation algorithm for extracting areas-of-interest (\"hotspots\") from video sequences. Because video hotspots, which are the visual analogues of HTML hyperlinks, highly depend on a user's interest, it is very difficult to automatically extract the exact outlines of objects of interest in videos. Our approach to interactive video hotspot retrieval is to provide candidate hotspots with segmented regions of video frames when requested, and a Web designer using the tool for Web site creation may select the area (or areas) he is interested in as a video hotspot. This segmentation algorithm follows a three step coarse-to-fine scheme. The original image is first divided into blocks and a block-merging process is applied to get a coarse segmentation. Then we represent the pre-segmented image as a graph where the value of edges in this graph are evaluated based on multi features, and by using a minimum spanning tree searching algorithm, we merge the vertices in the graph to generate the segmented regions of the image. Finally, we refine the boundary of segmented regions on the pixel level using an improved K-means clustering algorithm. This segmentation algorithm is fast and efficient and our final segmentation results compare favorably with the results obtained using manual outlining. We also provide a convenient way for the Web page designer to select multiple regions as a video hotspot. Our method allows the designer to click on an image during video playback and to get a segmented image almost instantly. The extracted video hotspots can then be used for video hyperlinks, an extension of the general concept of hyperlink to interactive videos.","PeriodicalId":190569,"journal":{"name":"Proceedings IEEE Workshop on Content-Based Access of Image and Video Libraries (CBAIVL 2001)","volume":"72 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2001-12-14","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"127335782","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: 4

Image browsing with PCA-assisted user-interaction 图像浏览与pca辅助用户交互

Proceedings IEEE Workshop on Content-Based Access of Image and Video Libraries (CBAIVL 2001) Pub Date : 2001-12-14 DOI: 10.1109/IVL.2001.990863

I. Keller, T. Meiers, T. Ellerbrock, T. Sikora

引用次数: 25

Mosaic-based clustering of scene locations in videos 视频中基于马赛克的场景位置聚类

Proceedings IEEE Workshop on Content-Based Access of Image and Video Libraries (CBAIVL 2001) Pub Date : 2001-12-14 DOI: 10.1109/IVL.2001.990864

Aya Aner, J. Kender

引用次数: 4

Ontological query language for content based image retrieval 基于内容的图像检索本体查询语言

Proceedings IEEE Workshop on Content-Based Access of Image and Video Libraries (CBAIVL 2001) Pub Date : 2001-12-14 DOI: 10.1109/IVL.2001.990859

Chris Town, David Sin

引用次数: 24

Audio-visual event detection using duration dependent input output Markov models 使用时长依赖输入输出马尔可夫模型的视听事件检测

Proceedings IEEE Workshop on Content-Based Access of Image and Video Libraries (CBAIVL 2001) Pub Date : 2001-12-14 DOI: 10.1109/IVL.2001.990854

M. Naphade, A. Garg, T.S. Huang

引用次数: 9

Towards object-based retrieval for image libraries 面向对象的图像库检索

Proceedings IEEE Workshop on Content-Based Access of Image and Video Libraries (CBAIVL 2001) Pub Date : 2001-12-14 DOI: 10.1109/IVL.2001.990852

B. Maxwell

引用次数: 3

Detection of important segments in cooking videos 烹饪视频重要片段的检测

Proceedings IEEE Workshop on Content-Based Access of Image and Video Libraries (CBAIVL 2001) Pub Date : 2001-12-14 DOI: 10.1109/IVL.2001.990865

R. Hamada, S. Satoh, S. Sakai, H. Tanaka

引用次数: 14

A hierarchical approach to scene segmentation 一种分层的场景分割方法

Proceedings IEEE Workshop on Content-Based Access of Image and Video Libraries (CBAIVL 2001) Pub Date : 2001-12-14 DOI: 10.1109/IVL.2001.990858

Hang-Bong Kang

{"title":"A hierarchical approach to scene segmentation","authors":"Hang-Bong Kang","doi":"10.1109/IVL.2001.990858","DOIUrl":"https://doi.org/10.1109/IVL.2001.990858","url":null,"abstract":"A scene is an important semantic unit to a user who is accessing video data and is useful in semantic-based video indexing and retrieval. However, scene segmentation from video data is not an easy task. We propose a novel hierarchical scene segmentation method which consists of three steps: initial segmentation, refinement, and adjustment. First, we detect initial scene boundaries using a continuous coherence computing model. As a coherence computing model, we use a short-term memory-based model in which the memory size and attention span size are not fixed. In our model, there are times when the removal of shots from the memory buffer may not follow a First-In-First-Out rule. After detection of initial scene boundaries, we execute the refinement process for each scene using k-means clustering algorithm to find misses not detected in scene boundary detection. The cluster-validity analysis technique is used to find the optimal number of clusters. If a new scene boundary is found within a scene by the analysis of clustering results, the scene is split into two sub-scenes. After that, we execute the adjustment process. We choose two consecutive scenes to detect whether the scene boundary is false or not. For shots of two consecutive scenes, we also perform a k-means clustering algorithm and detect desirable scene boundaries. Finally, accurate scene segmentation results are obtained and experimental results are presented.","PeriodicalId":190569,"journal":{"name":"Proceedings IEEE Workshop on Content-Based Access of Image and Video Libraries (CBAIVL 2001)","volume":"43 3","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2001-12-14","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"132285828","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: 7

Exploitation of meta knowledge for learning visual concepts 利用元知识学习视觉概念

Proceedings IEEE Workshop on Content-Based Access of Image and Video Libraries (CBAIVL 2001) Pub Date : 2001-12-14 DOI: 10.1109/IVL.2001.990860

B. Bhanu, Anlei Dong

引用次数: 5

CBIR for medical images - an evaluation trial 用于医学图像的CBIR -一项评估试验

Proceedings IEEE Workshop on Content-Based Access of Image and Video Libraries (CBAIVL 2001) Pub Date : 2001-12-14 DOI: 10.1109/IVL.2001.990861

Alan Marchiori, C. Brodley, Jennifer G. Dy, C. Pavlopoulou, A. Kak, L. S. Broderick, A. Aisen

引用次数: 13