Search results for "Video indexing"

showing 7 items of 7 documents

Content Based Indexing of Image and Video Databases by Global and Shape Features

1996

Indexing and retrieval methods based on the image content are required to effectively use information from the large repositories of digital images and videos currently available. Both global (colour, texture, motion, etc.) and local (object shape, etc.) features are needed to perform a reliable content based retrieval. We present a method for automatic extraction of global image features, like colour and motion parameters, and their use for data restriction in video database querying. Further retrieval is therefore accomplished, in a restricted set of images, by shape feature (skeleton, local symmetry moments, correlation, etc.) local search. The proposed indexing methodology has been deve…

Settore INF/01 - InformaticaComputer sciencebusiness.industrySearch engine indexingComputingMethodologies_IMAGEPROCESSINGANDCOMPUTERVISIONCBIR video indexing image analysisDigital imageAutomatic image annotationImage textureFeature (computer vision)Computer visionLocal search (optimization)Visual WordArtificial intelligencebusinessImage retrieval
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Video Indexing Using MPEG Motion Compensation Vectors

2003

In the last years a lot of work has been done on color, textural, structural and semantic indexing of "content-based" video databases. Motion-based video indexing has been less explored, with approaches generally based on the analysis of optical flows. Compressed videos require the decompression of the sequences and the computation of optical flows, two steps computationally heavy. In this paper we propose some methods to index videos by motion features (mainly related to camera motion) and by motion-based spatial segmentation of frames, in a fully automatic way. Our idea is to use MPEG motion vectors as an alternative to optical flows. Their extraction is very simple and fast; it doesn't r…

Settore ING-INF/05 - Sistemi Di Elaborazione Delle InformazioniMotion analysisMotion compensationComputer sciencebusiness.industrySearch engine indexingComputingMethodologies_IMAGEPROCESSINGANDCOMPUTERVISIONImage segmentationMotion vectorQuarter-pixel motionVideo indexing motion analysisMotion estimationComputer Science::MultimediaComputer visionArtificial intelligencebusinessBlock-matching algorithm
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Video indexing using optical flow field

2002

The increasing development of advanced multimedia applications requires new technologies for organizing and retrieving by content databases of digital video. Several content based features (color, texture, motion, etc.) are needed to perform a reliable content based retrieval. We present a method for automatic motion based video indexing and retrieval. A prototypal system has been developed to prove the validity of our approach. Our system automatically splits a video into a sequence of shots, extracts a few representative frames (said r-frames) from each shot and computes some motion based features related to the optical flow field. Motion based queries are then performed either in a quali…

Settore ING-INF/05 - Sistemi Di Elaborazione Delle InformazioniMotion compensationbusiness.industryComputer scienceSearch engine indexingDigital videoFeature extractionComputingMethodologies_IMAGEPROCESSINGANDCOMPUTERVISIONOptical flowImage segmentationVideo processingElectronic mailVideo indexing motion analysisMotion estimationComputer visionArtificial intelligencebusinessBlock-matching algorithm
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Motion and Color Based Video Indexing and Retrieval

1996

In this paper we present a method for automatic motion and color based video indexing and retrieval. Our system automatically splits a video into a sequence of shots and extracts a few representative frames (r-frames) from each shot. For each r-frame we compute the optical flow field; motion features are then derived from the flow field. Color features are related to the three-dimensional RGB color histogram. Queries (direct or by example) are based on these features. Obtained results proved that motion and color based querying can play a central role in content based video retrieval

Settore ING-INF/05 - Sistemi Di Elaborazione Delle InformazioniVideo indexing image analysis
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JACOB: Just A COntent Based query system for video databases

1996

The increasing development of advanced multimedia applications requires new technologies for organizing and retrieving by content databases of still digital images or digital video sequences. The authors describe JACOB, a prototypal system allowing content-based browsing and querying in video databases. The JACOB system automatically splits a video into a sequence of shots, extracts a few representative frames (said r-frames) from each shot and computes r-frame descriptors based on features like color and texture. No user action is required during the database population step. Queries exploit this image content description and may be direct or by example

Settore ING-INF/05 - Sistemi Di Elaborazione Delle InformazioniVideo indexing image analysis motion analysis
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Content based indexing of MPEG-4 video on relational DBMS

2001

Video indexing MPEG-4Settore ING-INF/05 - Sistemi Di Elaborazione Delle Informazioni
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Generating TV summaries for CE-devices

2002

Automatically generated summaries of TV content are indispensable for content selection and navigation in CE-devices. We show two different types of summaries: Short video trailers and visual overviews consisting of representative frames. The demo does not only show the feasibility of the proposed algorithms, but also shows how different types of generated summaries can be used in future CE-devices.

video summarizationInformation retrievalMultimediaContent analysisComputer scienceVideo indexingcomputer.software_genreVideo indexing; video summarizationcomputerSelection (genetic algorithm)
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