Proceedings. IEEE International Conference on Multimedia and Expo最新文献_第7页

A public-key based watermarking for color image authentication 基于公钥的彩色图像水印认证

Proceedings. IEEE International Conference on Multimedia and Expo Pub Date : 2002-11-07 DOI: 10.1109/ICME.2002.1035851

Sung-Cheal Byun, Il Lo Lee, Taehwan Shin, Byung-Ha Ahn

引用次数: 23

Fast music retrieval using polyphonic binary feature vectors 使用复调二进制特征向量的快速音乐检索

Proceedings. IEEE International Conference on Multimedia and Expo Pub Date : 2002-11-07 DOI: 10.1109/ICME.2002.1035728

H. Nagano, K. Kashino, H. Murase

引用次数: 20

Popularity-adaptive index scheme for fast music retrieval 快速音乐检索的流行度自适应索引方案

Proceedings. IEEE International Conference on Multimedia and Expo Pub Date : 2002-11-07 DOI: 10.1109/ICME.2002.1035733

Dongmoon Park, Eenjun Hwang

引用次数: 4

Category-based search using metadatabase in image retrieval 基于分类的元数据库图像检索

Proceedings. IEEE International Conference on Multimedia and Expo Pub Date : 2002-11-07 DOI: 10.1109/ICME.2002.1035752

Yimin Wu, A. Zhang

引用次数: 9

Multi-level memory prefetching for media and stream processing 用于媒体和流处理的多级内存预取

Proceedings. IEEE International Conference on Multimedia and Expo Pub Date : 2002-11-07 DOI: 10.1109/ICME.2002.1035522

Jason E. Fritts

引用次数: 27

Error resilience of video transmission by rate-distortion optimization and adaptive packetization 基于率失真优化和自适应分组的视频传输容错性

Proceedings. IEEE International Conference on Multimedia and Expo Pub Date : 2002-11-07 DOI: 10.1109/ICME.2002.1035697

Yuxin Liu, P. Salama, E. Delp

引用次数: 1

New kernels for analyzing multimodal data in multimedia using kernel machines 利用核机分析多媒体中多模态数据的新核

Proceedings. IEEE International Conference on Multimedia and Expo Pub Date : 2002-11-07 DOI: 10.1109/ICME.2002.1035368

H. Aradhye, C. Dorai

{"title":"New kernels for analyzing multimodal data in multimedia using kernel machines","authors":"H. Aradhye, C. Dorai","doi":"10.1109/ICME.2002.1035368","DOIUrl":"https://doi.org/10.1109/ICME.2002.1035368","url":null,"abstract":"Research in automated analysis of digital media content has led to a large collection of low-level feature extractors, such as face detectors, videotext extractors, speech and speaker identifiers, people/vehicle trackers, and event locators. These media metadata are often symbolic rather than continuous-valued, and pose significant difficulty to subsequent tasks such as classification and dimensionality reduction which traditionally deal with continuous-valued data. This paper proposes a novel mechanism that extends tasks traditionally limited to continuous-valued feature spaces, such as (a) dimensionality reduction, (b) de-noising, and (c) clustering, to domains with symbolic features. To this end, we introduce new kernels based on well-known distance metrics, and prove Mercer validity of these kernels for analyzing symbolic feature spaces. We demonstrate their usefulness within the context of kernel-space methods such as Kernel PCA and SVM, in classifying machine learning datasets from the UCI repository and in temporal clustering and tracking of videotext in multimedia. We show that the generalized kernels help capture information from symbolic feature spaces, visualize symbolic data, and aid tasks such as classification and clustering, and therefore are useful in multimodal analysis of multimedia.","PeriodicalId":90694,"journal":{"name":"Proceedings. IEEE International Conference on Multimedia and Expo","volume":"209 1","pages":"37-40 vol.2"},"PeriodicalIF":0.0,"publicationDate":"2002-11-07","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"89018099","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

Human visual system features enabling watermarking 人类视觉系统的特征使水印

Proceedings. IEEE International Conference on Multimedia and Expo Pub Date : 2002-11-07 DOI: 10.1109/ICME.2002.1035653

J. Delaigle, C. Vleeschouwer, B. Macq, R. Lagendijk

{"title":"Human visual system features enabling watermarking","authors":"J. Delaigle, C. Vleeschouwer, B. Macq, R. Lagendijk","doi":"10.1109/ICME.2002.1035653","DOIUrl":"https://doi.org/10.1109/ICME.2002.1035653","url":null,"abstract":"Digital watermarking consists of hiding subliminal information into digital media content, also called host data. It can be the basis of many applications, including security and media asset management. In this paper, we focus on the imperceptibility requirement for image watermarking. We present the main features of the human visual system (HVS) to be translated into watermarking technology. This paper highlights the need for dedicated inputs from the human vision community. The human visual system (HVS) is very complex and able to deal with a huge amount of information. Roughly speaking, it is composed of a receiver with a pre-processing stage, the eye and the retina, a transmission channel, the optic nerve, and a processing engine, the visual cortex. Mainly because of our lack of knowledge about brain behavior, i.e. about the way a stimulus is processed through its huge neural network, the large effort to understand and model the HVS behavior has partly remained fruitless. The aim of this paper is not to provide a thorough description of the HVS. For complete HVS models and more specific details, the reader is referred to existing literature. Here, we only try to understand, in a synthetic way and from an engineering perspective, the HVS features on which the designer of a watermarking algorithm can rely, i.e. its sensitivity and masking capabilities.","PeriodicalId":90694,"journal":{"name":"Proceedings. IEEE International Conference on Multimedia and Expo","volume":"72 1","pages":"489-492 vol.2"},"PeriodicalIF":0.0,"publicationDate":"2002-11-07","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"80026484","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: 66

Surfing the Web on TV: the MHP approach 在电视上上网:MHP方法

Proceedings. IEEE International Conference on Multimedia and Expo Pub Date : 2002-11-07 DOI: 10.1109/ICME.2002.1035579

A. Gil-Solla, J. Pazos-Arias, C. López-García, J. López-Ardao, R. F. R. Rubio, M. Cabrer, R. Redondo

引用次数: 24

Enhancement of colored engravings 增强彩色版画

Proceedings. IEEE International Conference on Multimedia and Expo Pub Date : 2002-11-07 DOI: 10.1109/ICME.2002.1035885

V. Misic, R. Buckley, K. Parker

引用次数: 1