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检索条件"任意字段=Conference on Multimedia Content Access - Algorithms and Systems II"

共 179 条记录，以下是1-10 订阅

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Proceedings of SPIE-IS and T Electronic Imaging - multimedia content access: algorithms and systems ii

Proceedings of SPIE-IS and T Electronic Imaging - Multimedia...

引用

multimedia content access: algorithms and systems ii

ISBN: (纸本)9780819469922

The proceedings contain 27 papers. The topics discussed include: hierarchical photo stream segmentation using context;giving order to image queries;logo detection using wavelet co-occurrence histograms;a novel approach to personal photo album representation and management;facial features matching using a virtual structuring element;picture management using person retrieval for consumer image collections;distributed wireless face recognition system;improving multimedia retrieval with a video OCR;improving scene detection by using gradual shot transitions as cues from film grammar;semantic video indexing using context-dependent fusion;highlight summarization in golf videos using audio signals;content-based image retrieval using greedy routing;evaluation of content-based features for user-centered image retrieval in small medial collections;and visual search engine for product images.

关键词： multimedia services

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Evaluation of content-based features for user-centred image retrieval in small media collections

Evaluation of content-based features for user-centred image ...

引用

conference on multimedia content access - algorithms and systems ii

作者： Eidenberger, Horst Zaharieva, Maia Vienna Univ Technol Interact Med Syst Grp Vienna Austria

ISBN: (纸本)9780819469922

The experiments described in this paper indicate that under certain conditions content-based features are not required for efficient user-centred image retrieval in small media collections. The importance of feature selection drops dramatically if classification is used for retrieval (e.g. if Support Vector Machines are used) and only little user feedback is available. In this situation simple image, features and even random features perform equally well as sophisticated signal processing-based features (e.g. the content-based MPEG-7 image descriptors). Practically relevant applications for these findings are retrieval on mobile devices and in heterogeneous (e.g. ad hoc generated) media collections.

关键词： multimedia retrieval feature design machine learning mobile applications

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Distributed classifier chain optimization for real-time multimedia stream mining systems - art. no. 68200N

Distributed classifier chain optimization for real-time mult...

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conference on multimedia content access - algorithms and systems ii

作者： Foo, Brian van der Schaar, Mihaela Univ Calif Los Angeles Dept Elect Engn Los Angeles CA 90095 USA

ISBN: (纸本)9780819469922

We consider the problem of optimally configuring classifier chains for real-time multimedia stream mining systems. Jointly maximizing the performance over several classifiers under minimal end-to-end processing delay is a difficult task due to the distributed nature of analytics (e.g. utilized models or stored data sets), where changing the filtering process at a single classifier can have an unpredictable effect on both the feature values of data arriving at classifiers further downstream, as well as the end-to-end processing delay. While the utility function can not be accurately modeled, in this paper we propose a randomized distributed algorithm that guarantees almost, sure convergence to the optimal solution. We also provide results using speech data showing that the algorithm can perform Well under highly dynamic environments.

关键词： distributed systems queuing theory multimedia stream mining multiagent systems

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content-based image retrieval using greedy routing

Content-based image retrieval using greedy routing

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conference on multimedia content access - algorithms and systems ii

作者： Don, Anthony Hanusse, Nicolas Univ Bordeaux 1 LaBRI F-33405 Talence France

ISBN: (纸本)9780819469922

In this paper, we propose a new concept for browsing and searching in large collections of content-based indexed images. Our approach is inspired by greedy routing algorithms used in distributed networks. We define a navigation graph, called NAVGRAPH, whose vertices represent images. The edges of the navgraph are computed according to a similarity measure between indexed images. The resulting graph can be seen as an ad-hoc network of images in which a greedy routing algorithm can be applied for retrieval purposes. A request for a target image consists of a walk in the navigation graph using a greedy,approach : starting from an arbitrary vertex/image, the neighbors of the current vertex are presented to the user, who iteratively selects the vertex which is the most similar to the target. We present the NAVGRAPH construction and prove its efficiency for greedy routing. We also propose a specific content-descriptor that we compare to the MPEG7 Color Layout Descriptor. Experimental results with test-users show the usability of this approach.

关键词： CBIR user interface greedy routing navigation graphs

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A novel approach to personal photo album representation and management

A novel approach to personal photo album representation and ...

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conference on multimedia content access - algorithms and systems ii

作者： Ardizzone, Edoardo La Caskia, Marco Vella, Filippo Univ Palermo Dipartimento Ingn Informat I-90128 Palermo Italy

ISBN: (纸本)9780819469922

In this paper we present a novel approach to personal photo album management allowing the end user to efficiently access the collection without any need for tedious manual annotation or indexing of the photos. The proposed work exploits methods and technology from the field of computer vision and pattern recognition for face detection, face representation and image annotation to automatically create description of images useful for content-based searching and retrieval. In fact, even if most of the used techniques are not reliable enough to address the general problem of content-based image retrieval, we show that, in a limited domain such as the one of personal photo album, it is possible to obtain results that improve the browsing capabilities of current photo album management systems. In particular, starting from the observation that most personal photos depict a usually small number of people in a relatively small number of different context (indoor, outdoor, beach, mountain, city etc...) we propose the use of automatic techniques to index images based on who is present in the scene and on the-context where the picture was taken. Experiments on a personal photo collection of about a thousand images proved that relatively simple content-based techniques lead to surprisingly good results in term of easyness of user access to-the data.

关键词： personal photo album content-based image retrieval automatic-image annotation

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content-based unconstrained color logo and trademark retrieval with Color Edge Gradient Co-occurrence Histograms

Content-based unconstrained color logo and trademark retriev...

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conference on multimedia content access - algorithms and systems ii

作者： Phan, Raymond Androutsos, Dimitrios Ryerson Univ Dept Elect & Comp Engn Toronto ON M5B 2K3 Canada

ISBN: (纸本)9780819469922

In this paper, we present a logo and trademark retrieval system for unconstrained color image databases that extends the Color Edge Co-occurrence Histogram (CECH) object detection scheme. We introduce more accurate information to the, CECH, by virtue of incorporating color edge detection using vector order statistics. This produces a more accurate representation of edges in color images, in comparison to the simple color pixel difference classification of edges as seen in the CECH. Our proposed method is thus reliant on edge gradient information, and as such, we call this the Color Edge Gradient Co-occurrence Histogram (CEGCH). We use this as the main mechanism for our unconstrained color logo and trademark retrieval scheme. Results illustrate that the proposed retrieval system retrieves logos and trademarks with good accuracy, and outperforms the CECH object detection scheme with higher precision and recall.

关键词： Color Edge Gradient Co-occurrence Histogram (CEGCH) logo and trademark retrieval color edge detection pattern recognition object detection

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Audio scene segmentation for video with generic content

Audio scene segmentation for video with generic content

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conference on multimedia content access - algorithms and systems ii

作者： Niu, Feng Goela, Naveen Divakaran, Ajay Abdel-Mottaleb, Mohamed Univ Miami Dept Elect & Comp Engn 1251 Mem Dr Coral Gables FL 33146 USA Mitsubishi Elect Res Lab Cambridge MA 02139 USA

ISBN: (纸本)9780819469922

In this paper, we present a content-adaptive audio texture based method to segment video into audio scenes. The audio scene is modeled as a semantically consistent chunk of audio-data. Our algorithm is based on '' semantic audio texture analysis.'' At first, we train GMM models for basic audio classes such as speech, music, etc. Then we define the semantic audio texture based-on those classes. We study and present two types of scene changes, those corresponding to an overall audio-texture change and those corresponding to a-special '' transition marker '' used by the content creator, such as a short stretch of music in a sitcom or silence in dramatic content. Unlike prior work using genre specific heuristics, such as some methods presented for detecting commercials, we adaptively find out if such special transition markers are being used and if so, which of the base classes are being used as markers without any prior knowledge about the content. Our experimental results show that our proposed audio scene segmentation works well across a wide variety of broadcast content genres.

关键词： audio scene segmentation semantic texture SVM

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Improving multimedia retrieval with a video OCR

Improving multimedia retrieval with a video OCR

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conference on multimedia content access - algorithms and systems ii

作者： Das, Dipanjan Chen, Datong Hauptmann, Alexander G. Carnegie Mellon Univ Language Technol Inst Pittsburgh PA 15213 USA Carnegie Mellon Univ Comp Sci Dept Pittsburgh PA 15213 USA

ISBN: (纸本)9780819469922

We present a set of experiments with a video OCR system (VOCR) tailored for video information retrieval and establish its importance in multimedia search in general and for some specific queries in particular. The system, inspired by an existing work on text detection and recognition in images, has been developed using, techniques involving detailed analysis of video frames producing candidate text regions. The text regions are then binarized and sent to a commercial OCR resulting in ASCii text, that is finally used to create search indexes. The system is evaluated using the TREVID data.. We compare the system's performance from an information retrieval perspective with another VOCR developed, using multi-frame integration and empirically demonstrate that deep analysis on individual video frames result in better video retrieval. We also evaluate the effect of various textual sources on multimedia retrieval by combining the VOCR outputs with automatic speech recognition (ASR) transcripts. For general search queries, the VOCR system coupled with ASR sources outperforms the other system by a very large extent. For search queries that involve named entities, especially people names, the VOCR system even outperforms speech transcripts, demonstrating that source selection for particular query types is extremely essential.

关键词： video OCR OCR multimedia retrieval video retrieval optical character recognition

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ARGOS:: French Evaluation Campaign for benchmarking of video content analysis methods

ARGOS:: French Evaluation Campaign for benchmarking of video...

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conference on multimedia content access - algorithms and systems

作者： Benois-Pineau, Jenny Joly, Philippe Kijak, Ewa Quenot, Georges LABRI Bordeaux France IRIT Toulouse France IRISA Rennes France CLIPS IMAG CNRS F-38041 Grenoble 9 France

ISBN: (纸本)9780819466198

The paper presents the Argos evaluation campaign of video content analysis tools supported by the French Techno-Vision program. This project aims at developing the resources of a benchmark of content analysis methods and algorithms. The paper describes the type of the evaluated tasks, the way the content set has been produced, metrics and tools developed for the evaluations and results obtained at the end of the first phase.

关键词： video content analysis evaluation benchmark

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multimedia Information Retrieval at FX Palo Alto Laboratory

Multimedia Information Retrieval at FX Palo Alto Laboratory

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conference on multimedia on Mobile Devices and multimedia content access - algorithms and systems V

作者： Cooper, Matthew Adcock, John Girgensohn, Andreas Pickens, Jeremy Wilcox, Lynn FX Palo Alto Lab Palo Alto CA 94034 USA

ISBN: (纸本)9780819484185

This paper describes research activities at FX Palo Alto Laboratory (FXPAL) in the area of multimedia browsing, search, and retrieval. We first consider interfaces for organization and management of personal photo collections. We then survey our work on interactive video search and retrieval. Throughout we discuss the evolution of both the research challenges in these areas and our proposed solutions.

关键词： Video Visualization multimedia Human-machine interfaces Interfaces Digital photography Internet Photography Document management Mobile devices

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