MULTIMEDIA '01最新文献_第6页

Subband image segmentation using VQ for content-based image retrieval 基于内容的图像检索中使用VQ的子带图像分割

MULTIMEDIA '01 Pub Date : 2001-10-01 DOI: 10.1145/500141.500219

Junchul Chun, G. Stockman

{"title":"Subband image segmentation using VQ for content-based image retrieval","authors":"Junchul Chun, G. Stockman","doi":"10.1145/500141.500219","DOIUrl":"https://doi.org/10.1145/500141.500219","url":null,"abstract":"Retrieving images from a large image dataset using image content as a key is an important issue. In this paper, we present a new content-based image retrieval approach using a Wavelet transform and subband image segmentation. For the image retrieval, we first decompose the image using a Wavelet transform and adopt vector a quantization(VQ) algorithm to perform automatic segmentation based on image features such as color and texture. The wavelet transform decomposes the image into 4 subbands(LL,LH,HL,HH). Only the LL component is further decomposed until the desired depth is reached. The image segmentation is performed using the HIS color and texture features of the low pass sub-band component image. The VQ provides a transformation from the raw pixel data to a small group of homogeneous classes which are coherent in color and texture space. For managing a large image dataset, image compression is usually considered. In that sense, the segmentation of a compressed image or sub-band image is more efficient compared with using an uncompressed image since the compressed image preserves the information needed for the image segmentation task. An important aspect of the system is that using a sub-band image of the Wavelet transform can reduce the size and noise of the image. Thus, we can subsequently reduce the computational burden for the image segmentation. The experimental results of the proposed image retrieval system confirm the feasibility of our approach in retrieving accuracy and in lowering computational cost compared to using the original image.","PeriodicalId":416848,"journal":{"name":"MULTIMEDIA '01","volume":"90 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2001-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"126550797","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: 2

Motion-based segmentation and contour-based classification of video objects 基于运动的分割和基于轮廓的视频对象分类

MULTIMEDIA '01 Pub Date : 2001-10-01 DOI: 10.1145/500141.500150

Gerald Kühne, Stephan Richter, Markus Beier

{"title":"Motion-based segmentation and contour-based classification of video objects","authors":"Gerald Kühne, Stephan Richter, Markus Beier","doi":"10.1145/500141.500150","DOIUrl":"https://doi.org/10.1145/500141.500150","url":null,"abstract":"The segmentation of objects in video sequences constitutes a prerequisite for numerous applications ranging from computer vision tasks to second-generation video coding.We propose an approach for segmenting video objects based on motion cues. To estimate motion we employ the 3D structure tensor, an operator that provides reliable results by integrating information from a number of consecutive video frames. We present a new hierarchical algorithm, embedding the structure tensor into a multiresolution framework to allow the estimation of large velocities.The motion estimates are included as an external force into a geodesic active contour model, thus stopping the evolving curve at the moving object's boundary. A level set-based implementation allows the simultaneous segmentation of several objects.As an application based on our object segmentation approach we provide a video object classification system. Curvature features of the object contour are matched by means of a curvature scale space technique to a database containing preprocessed views of prototypical objects.We provide encouraging experimental results calculated on synthetic and real-world video sequences to demonstrate the performance of our algorithms.","PeriodicalId":416848,"journal":{"name":"MULTIMEDIA '01","volume":"48 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2001-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"126636043","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: 54

Adaptive nearest neighbor search for relevance feedback in large image databases 大型图像数据库中相关性反馈的自适应最近邻搜索

MULTIMEDIA '01 Pub Date : 2001-10-01 DOI: 10.1145/500141.500157

Peng Wu, B. S. Manjunath

{"title":"Adaptive nearest neighbor search for relevance feedback in large image databases","authors":"Peng Wu, B. S. Manjunath","doi":"10.1145/500141.500157","DOIUrl":"https://doi.org/10.1145/500141.500157","url":null,"abstract":"Relevance feedback is often used in refining similarity retrievals in image and video databases. Typically this involves modification to the similarity metrics based on the user feedback and recomputing a set of nearest neighbors using the modified similarity values. Such nearest neighbor computations are expensive given that typical image features, such as color and texture, are represented in high dimensional spaces. Search complexity is a ciritcal issue while dealing with large databases and this issue has not received much attention in relevance feedback research. Most of the current methods report results on very small data sets, of the order of few thousand items, where a sequential (and hence exhaustive search) is practical. The main contribution of this paper is a novel algorithm for adaptive nearest neigbor computations for high dimensional feature vectors and when the number of items in the databse is large. The proposed method exploits the correlations between two consecutive nearest neighbor searches when the underlying similarity metric is changing, and filters out a significant number of candidates ina two stage search and retrieval process, thus reducing the number of I/O accesses to the database. Detailed experimental results are provided using a set of about 700,000 images. Comparision to the existing method shows an order of magnitude overall imporovement.","PeriodicalId":416848,"journal":{"name":"MULTIMEDIA '01","volume":"72 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2001-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"116935720","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: 56

Media transcoding for pervasive computing 用于普适计算的媒体转码

MULTIMEDIA '01 Pub Date : 2001-10-01 DOI: 10.1145/500141.500210

Zhijun Lei

引用次数: 15

vCOM: virtual commerce in a collaborative 3D world 协同3D世界中的虚拟商务

MULTIMEDIA '01 Pub Date : 2001-10-01 DOI: 10.1145/500141.500257

Xiaojun Shen, S. Nourian, Isabelle Hertanto, N. Georganas

引用次数: 1

Improvising camera control for capturing meeting activities using a floor plan 利用平面图临时控制摄像机以捕捉会议活动

MULTIMEDIA '01 Pub Date : 2001-10-01 DOI: 10.1145/500141.500146

Shingo Uchihashi

引用次数: 6

Periodic broadcast and patching services: implementation, measurement, and analysis in an internet streaming video testbed 定期广播和修补服务:在互联网流媒体视频测试平台中的实现、测量和分析

MULTIMEDIA '01 Pub Date : 2001-10-01 DOI: 10.1145/500141.500184

M. K. Bradshaw, Bing Wang, Lixin Gao, J. Kurose, P. Shenoy, D. Towsley, S. Sen

{"title":"Periodic broadcast and patching services: implementation, measurement, and analysis in an internet streaming video testbed","authors":"M. K. Bradshaw, Bing Wang, Lixin Gao, J. Kurose, P. Shenoy, D. Towsley, S. Sen","doi":"10.1145/500141.500184","DOIUrl":"https://doi.org/10.1145/500141.500184","url":null,"abstract":"Multimedia streaming applications can consume a significant amount of server and network resources. Periodic broadcast and patching are two approaches that use multicast transmission and client buffering in innovative ways to reduce server and network load, while at the same time allowing asynchronous access to multimedia steams by a large number of clients. Current research in this area has focussed primarily on the algorithmic aspects of these approaches, with evaluation performed via analysis or simulation. In this paper, we describe the design and implementation of a flexible streaming video server and client testbed that implements both periodic broadcast and patching, and explore the issues that arise when implementing these algorithms. We present measurements detailing the overheads associated with the various server components (signaling, transmission schedule computation, data retrieval and transmission), the interactions between the various components of the architecture, and the overall end-to-end performance. We also discuss the importance of an appropriate server video segment caching policy. We conclude with a discussion of the insights gained from our implementation and experimental evaluation.","PeriodicalId":416848,"journal":{"name":"MULTIMEDIA '01","volume":"272 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2001-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"125727609","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

Content-sensitive video streaming over low bitrate and lossy wireless network 内容敏感的视频流在低比特率和有损无线网络

MULTIMEDIA '01 Pub Date : 2001-10-01 DOI: 10.1145/500141.500227

Kun Tan, Richard Ribier, S. Liou

引用次数: 12

Extraction of feature subspaces for content-based retrieval using relevance feedback

MULTIMEDIA '01 Pub Date : 2001-10-01 DOI: 10.1145/500141.500158

Zhong-Ming Su, S. Li, HongJiang Zhang

引用次数: 75

SVG for navigating digital news video 用于导航数字新闻视频的SVG

MULTIMEDIA '01 Pub Date : 2001-10-01 DOI: 10.1145/500141.500218

Michael G. Christel, Chang Huang

引用次数: 5