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The 1999 32nd Annual Hawaii International conference on System Sciences, HICSS-32

作者： Schonfeld, Dan Lelescu, Dan Univ of Illinois at Chicago Chicago IL United States

Multimedia data is generally stored in compressed form in order to efficiently utilize the available storage facilities. Access to archives is dependent on our ability to browse compressed multimedia information - retrieval and tracking from coded video databases. In this paper, a novel visual search engine for video retrieval and tracking from compressed multimedia databases is proposed. The goal of the project is the implementation of a visual browser that operates in a distributed environment where users initiate video searches and retrieve relevant video information simultaneously from multiple video archives. Being presented with a query in the form of template images of objects, the system operates on the compressed video to find the images or video sequences where those objects are present and their positions in the image. Upon user's request, the system will decompress and display only the video sequences of interest.

关键词： videotex

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Adaptive synthesis in progressive retrieval of audio-visual data

Adaptive synthesis in progressive retrieval of audio-visual ...

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1st IEEE International conference on Multimedia and Expo (ICME2000)

作者： Smith, JR Li, CS IBM Corp TJ Watson Res Ctr Hawthorne NY 10532 USA

ISBN: (纸本)0780365364

With the advent of pervasive computing, a growing diversity of client devices is gaining access to audio-visual content. The increased variability in client device processing power, storage, bandwidth, and server loading require adaptive solutions for image, video and audio retrieval. Progressive retrieval is one prominent mode of access in which views at different resolutions are incrementally retrieved and refined over time. In this paper, we present a new framework for adaptively partitioning the synthesis operations in progressive retrieval of audio-visual signals. The framework considers that the server and client cooperate in synthesizing the views in order to best utilize the available processing power and bandwidth. We provide experimental results that demonstrate a significant reduction in latency in the progressive retrieval of images under different conditions of the client, server and network.

关键词： image and video databases progressive retrieval pervasive computing wavelets

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Digital signature of color images using amplitude modulation 5

Digital signature of color images using amplitude modulation

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conference on storage and retrieval for image and video databases V

作者： Kutter, M Jordan, F Bossen, F Swiss Federal Institute of Technology (Switzerland)

ISBN: (纸本)0819424331

Watermarking techniques, also referred to as digital signature, sign images by introducing changes that are imperceptible to the human eye but easily recoverable by a computer program. Generally, the signature is a number which identifies the owner of the image. The locations in the image where the signature is embedded are determined by a secret key. Doing so prevents possible pirates from easily removing the signature. Furthermore, it should be possible to retrieve the signature from an altered image. Possible alternations of signed images include blurring, compression and geometrical transformations such as rotation and translation. These alterations are referred to as attacks. A new method based on amplitude modulation is presented. Single signature bits are multiply embedded by modifying pixel values in the blue channel. These modifications are either additive or subtractive, depending on the value of the bit, and proportional to the luminance. This new method has shown to be resistant to both classical attacks, such as filtering, and geometrical attacks. Moreover, the signature can be extracted without the original image.

关键词： watermarking digital signature copyright color image geometrical attack steganography

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Semantic feature extraction for interior environment understanding and retrieval

Semantic feature extraction for interior environment underst...

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7th storage and retrieval for image and video databases conference

作者： Lei, ZB Liang, YF AT&T Bell Labs Lucent Technol Murray Hill NJ 07974 USA

ISBN: (纸本)0819431273

In this paper we propose a novel system of semantic feature extraction and retrieval for interior design and decoration application. The system, (VID)-I-2 (Virtual Visual Interior Design), uses colored texture and spatial edge layout to obtain simple information about global room environment. We address the domain specific segmentation problem in our application and present techniques for obtaining semantic features from a room environment. Sire also discuss heuristics for making use of these features (color, texture, edge layout and shape) to retrieve objects from an existing database. The final resynthesized room environment with original scene and objects from database is created for the purpose of animation and virtual walk-through.

关键词： image understanding content based image retrieval segmentation colored-texture processing image based rendering image synthesis

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EMBEDDING image QUERY OPERATIONS IN AN OBJECT-RELATIONAL DATABASE MANAGEMENT SYSTEM

EMBEDDING IMAGE QUERY OPERATIONS IN AN OBJECT-RELATIONAL DAT...

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conference on storage and retrieval for image and video databases iiI

作者： UBELL, M OLSON, M ILLUSTRA INFORMAT TECHNOL INC OAKLANDCA 94607

ISBN: (纸本)081941767X

Modern computer applications use enormous volumes of rich data like video, still images, and text, as well as more conventional numeric and character data. Managing huge volumes of such diverse data requires a database. Content queries, such as 'find me the color images with red components higher than this threshold,' require that the database system be able to apply the qualification directly. Relational database systems that store images as untyped binary large objects (BLOBS) cannot apply qualifications like this, because the database system does not understand the contents of the BLOB. Object-Relational Database Management Systems (ORDBMS), on the other hand, allow users to extend the set of types and functions known to the database system. Programmers can write code that is dynamically loaded into the database server, and that operates on complex data types such as images. Those functions can be used in standard SQL queries, and the database manager can use new types and function results in indices to support fast queries on complex data. In addition, the query optimizer can be told how expensive the new functions are, so that it chooses an optimal strategy for satisfying complicated queries with many different predicates in their qualifications.

关键词： OBJECT RELATIONAL DATABASE image QUERY image storage

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DrawSearch: A tool for interactive content-based image retrieval over the net

DrawSearch: A tool for interactive content-based image retri...

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7th storage and retrieval for image and video databases conference

作者： Di Sciascio, E Mongiello, M Politecn Bari Dipartimento Elettrotecn & Elettron I-70125 Bari Italy

ISBN: (纸本)0819431273

Content Based image retrieval has recently become one of the most active research areas, due to the massive increase in the amount and complexity of digitized data being stored, transmitted and accessed. We present here a prototype implementation of DRAWSEARCH, an image retrieval by content system that uses color and shape (and texture in the near future) features to index and retrieve images. The system, currently being tested and improved, is designed to increase interactivity with users posing queries over the Internet and avails of a Java client for query by sketch. It also implements relevance feedback to allow users dynamically refine queries. Experiments show that the proposed approach can greatly reduce the user's effort to compose a query while capturing his/her information need with greater precision.

关键词： retrieval by image content vector space model query by sketch relevance feedback human-computer interaction WWW

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image retrieval: Information and Rough Set Theories 11

Image Retrieval: Information and Rough Set Theories

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11th International conference on image and Signal Processing (ICISP)

作者： Garimella, Rama Murthy Gabbouj, Moncef Ahmad, Iftikhar IIIT Hyderabad Dept Signal Proc Hyderabad Andhra Pradesh India Tampere Univ Technol Dept Signal Proc FIN-33101 Tampere Finland

In this research paper, we propose novel features based on information theory for image retrieval. We propose the novel concept of "probabilistic filtering". We propose a hybrid approach for image retrieval that combines annotation approach with content based image retrieval approach. Also rough set theory is proposed as a tool for audio/video object retrieval from multi-media databases. (C) 2015 The Authors. Published by Elsevier B.V.

关键词： Hierarchical features Normalized histogram Roughset K-L divergence image retrieval

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Automated analysis and annotation of basketball video 5

Automated analysis and annotation of basketball video

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conference on storage and retrieval for image and video databases V

作者： Saur, DD Tan, YP Kulkarni, SR Ramadge, J Princeton Univ. (United States)

ISBN: (纸本)0819424331

Automated analysis and annotation of video sequences are important for digital video libraries, content-based video browsing and data mining projects. A successful video annotation system should provide users with useful video content summary in a reasonable processing time. Given the wide variety of video genres available today, automatically extracting meaningful video content for annotation still remains hard by using current available techniques. However, a wide range video has inherent structure such that some prior knowledge about the video content can be exploited to improve our understanding of the high-level video semantic content. In this paper, we develop tools and techniques for analyzing structured video by using the low-level information available directly from MPEG compressed video. Being able to work directly in the video compressed domain can greatly reduce the processing time and enhance storage efficiency. As a testbed, we have developed a basketball annotation system which combines the low-level information extracted from MPEG stream with the prior knowledge of basketball video structure to provide high level content analysis, annotation and browsing for events such as wide-angle and close-up views, fast breaks, steals, potential shots, number of possessions and possession times. We expect our approach can also be extended to structured video in other domains.

关键词： structured video analysis basketball video content annotation browsing indexing MPEG compressed data wide-angle and close-up camera views intra-coded block count

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Comparative study of strategies for illumination-invariant texture representations

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Proceedings of SPIE - The International Society for Optical Engineering 1999年 3656卷 653-664页

作者： Levienaise-Obadia, B. Kittler, J. Christmas, W. Univ of Surrey Guildford United Kingdom

Illumination invariance is of paramount importance to annotate video sequences stored in large videodatabases consistently. Yet, popular texture analysis methods such as multichannel filtering techniques do not yield illumination-invariant texture representations. In this paper, we assess the effectiveness of three illumination normalisation schemes for texture representations derived from Gabor filter outputs. The schemes aim at overcoming intensity scaling effects due to changes in ilumination conditions. A theoretical analysis and experimental results enable us to select one scheme as the most promising one. In this scheme, a normalising factor is derived at each pixel by combining the energy responses of different filters at that pixel. The scheme overcomes illumination variations well, while still preserving discriminatory textural information. Further statistical analysis may shed light on other interesting properties or limitations of the scheme.

关键词： image analysis

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Using background knowledge for picture organization and retrieval 5

Using background knowledge for picture organization and retr...

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conference on storage and retrieval for image and video databases V

作者： Quintana, Y Univ. of Western Ontario (Canada)

ISBN: (纸本)0819424331

A picture knowledge base management system is described that is used to represent, organize and retrieve pictures from a frame knowledge base. Experiments with human test subjects were conducted to obtain further descriptions of pictures from news magazines. These descriptions were used to represent the semantic content of pictures in frame representations. A conceptual clustering algorithm is described which organizes pictures not only on the observable features, but also on implicit properties derived from the frame representations. The algorithm uses inheritance reasoning to take into account background knowledge in the clustering. The algorithm creates clusters of pictures using a group similarity function that is based on the gestalt theory of picture perception. For each cluster created, a frame is generated which describes the semantic content of pictures in the cluster. Clustering and retrieval experiments were conducted with and without background knowledge. The paper shows how the use of background knowledge and semantic similarity heuristics improves the speed, precision, and recall of queries processed. The paper concludes with a discussion of how natural language processing of can be used to assist in the development of knowledge bases and the processing of user queries.

关键词： conceptual clustering content retrieval picture knowledge bases frames inheritance reasoning

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