In this paper we introduce our approach to multimedia database interfaces. Although we deal mainly with imagedatabases, most of the ideas we present can be generalized to other types of data. We argue that, when deal...
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ISBN:
(纸本)0819431273
In this paper we introduce our approach to multimedia database interfaces. Although we deal mainly with imagedatabases, most of the ideas we present can be generalized to other types of data. We argue that, when dealing with complex data, such as images, the problem of access must be redefined along different lines than text databases. In multimedia databases, the semantics of the data is imprecise, and depends in part on user's interpretation. This observation made us consider the development of interfaces in which the user explores the database rather than querying it. In this paper we give a brief justification of our position and present the exploratory interface that we have developed for our image database El nino.
This paper proposes an imageretrieval system which searches a database for images similar to a target, imagined by a user. The system uses image features, rather than keywords, and retrieves images by reducing a mult...
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ISBN:
(纸本)0819431273
This paper proposes an imageretrieval system which searches a database for images similar to a target, imagined by a user. The system uses image features, rather than keywords, and retrieves images by reducing a multidimensional feature space generated by the image feature vectors. First, the system presents the user some sample images with a suitable feature vector value and requires the user's interaction to obtain information on which image is similar to the target he/she has in his/her mind. Then, the information is used to appropriately reduce the feature space. This process is continued until the target region is reduced to a suitable volume. Since this method requires neither real target image nor keywords in retrieving, it is quite simple and practical. Experimental results show the advantage and efficiency of the proposed system.
Content based retrieval on large multimedia database attracts the interests of many researchers, but the database architecture needed for content based retrieval is still an open problem. Traditional relation database...
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ISBN:
(纸本)0819431273
Content based retrieval on large multimedia database attracts the interests of many researchers, but the database architecture needed for content based retrieval is still an open problem. Traditional relation database system does not support the high-dimension feature form content description and indexing, thus is limited in its content based retrieval function. Some systems do support high-dimension feature form content description and indexing, but lacks descriptions and query expressions on media object content and relations. In this paper, we present our study results on query mechanism and proposed CbEEpr - a power flexible query expression mechanism on media object. Based on CbExpr we proposed GMA (general mediabase architecture) -a general architecture for management and content based retrieval on large media databases, and videoBase - a content based videoretrieval system is present as example of GMA. Basic thoughts, considerations, and definitions are presented in the paper, also with some implementation details.
We have developed a TV-on-demand system that provides playback of a television program after a period ranging from a few seconds to one week after broadcast, and have conducted usage trials in cooperation with a telev...
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ISBN:
(纸本)0819431273
We have developed a TV-on-demand system that provides playback of a television program after a period ranging from a few seconds to one week after broadcast, and have conducted usage trials in cooperation with a television station in Nagano Prefecture of Japan. This system has been achieved through the development of various technologies such as automatic updating of stored television programs and contents retrieval by telop characters, Users in the trials can begin playback of a television program immediately after its broadcast has begun. The purpose of the trials was to evaluate the system's usability in applications such as contents retrieval, selective viewing of commercials, and customer service at the television station. This paper presents applied technologies and some experimental results and also addresses a new direction of information retrieval system based on the evaluation of the usage trials.
We present a fast algorithm for computing the singular value decomposition (SVD) of a matrix consisting of the frames from a video sequence. The computational efficiency of this algorithm derives from the observation ...
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ISBN:
(纸本)0819431273
We present a fast algorithm for computing the singular value decomposition (SVD) of a matrix consisting of the frames from a video sequence. The computational efficiency of this algorithm derives from the observation that portions of a video sequence will consist of sets of correlated frames. We then show that the information obtained from the SVD can be used to analyze video sequences to obtain information such as scene breaks, scene query, reduced-order shot representation and key frame determination. We illustrate this approach on several video sequences.
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 spa...
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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.
Content Based imageretrieval 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 he...
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ISBN:
(纸本)0819431273
Content Based imageretrieval 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 imageretrieval 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.
In this paper we address the problem of choosing appropriate features to describe the content of still pictures or video sequences including audio. As the computational analysis of these features is often time-consumi...
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ISBN:
(纸本)0819431273
In this paper we address the problem of choosing appropriate features to describe the content of still pictures or video sequences including audio. As the computational analysis of these features is often time-consuming it is useful to identify a minimal set allowing for an automatic classification of some class or genre. Further it can be shown that deleting the coherence of the features characterizing some class is not suitable to guarantee an optimal classification result. The central question of the paper is thus which features should be selected and how they should be weighted to optimize a classification problem.
The amount of digitized video in video archives is becoming so huge that easier access and content browsing tools are desperately needed. Also, video is no longer one big piece of data but a collection of useful small...
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ISBN:
(纸本)0819431273
The amount of digitized video in video archives is becoming so huge that easier access and content browsing tools are desperately needed. Also, video is no longer one big piece of data but a collection of useful smaller building blocks that can be accessed and used independently from the original context of presentation. In this paper, we demonstrate a content model for audio-video sequences with the purpose of enabling the automatic generation of video summaries. The model is based on descriptors which indicate various properties and relations of audio and video segments. In practice, these descriptors could either be generated automatically by analysis methods, or produced manually (or computer-assisted) by the content provider himself. We analyze the requirements and characteristics of the different data segments with respect to the problem of summarization, and we define our model as a set of constraints which allow to produce good quality summaries.
An integrated wavelet-based imagestorage and indexing system is proposed in this research. Indexing features of consideration contains the texture, color and spatial information of images. These features can be natur...
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An integrated wavelet-based imagestorage and indexing system is proposed in this research. Indexing features of consideration contains the texture, color and spatial information of images. These features can be naturally extracted during the successive approximation quantization (SAQ) stage of the wavelet compression process. Extensive experimental results are performed to demonstrate the retrieval performance of the new approach.
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