S-CBIR Algorithm for Image Retrieval in ImageRich Information Networks
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S-CBIR Algorithm for Image Retrieval in ImageRich Information Networks (2015)
DE PB NW RP
ISBN: 9783659755309 bzw. 3659755303, in Deutsch, LAP Lambert Academic Publishing Aug 2015, Taschenbuch, neu, Nachdruck.
Von Händler/Antiquariat, AHA-BUCH GmbH [51283250], Einbeck, Germany.
This item is printed on demand - Print on Demand Titel. Neuware - Social networking and image hosting websites like Facebook and Flickr allow users to upload, tag and share images on internet, such type of sites have millions of users who actually upload millions of images daily. Famous e commerce web sites like amazon, flipkart, and snapdeal etc. also show product related images to customers. Images which are available on social multimedia networking, image hosting and e commerce websites are accompanied by different annotations, tags, comments, and other related information which tend to form an image rich information networks. Due to existence of different related information to images (tags, annotations, comments etc.) retrieval of images from image rich information networks is very challenging and complex task. In this work an integrated approach of algorithms to retrieve an image from image rich information networks is proposed. 72 pp. Englisch.
This item is printed on demand - Print on Demand Titel. Neuware - Social networking and image hosting websites like Facebook and Flickr allow users to upload, tag and share images on internet, such type of sites have millions of users who actually upload millions of images daily. Famous e commerce web sites like amazon, flipkart, and snapdeal etc. also show product related images to customers. Images which are available on social multimedia networking, image hosting and e commerce websites are accompanied by different annotations, tags, comments, and other related information which tend to form an image rich information networks. Due to existence of different related information to images (tags, annotations, comments etc.) retrieval of images from image rich information networks is very challenging and complex task. In this work an integrated approach of algorithms to retrieve an image from image rich information networks is proposed. 72 pp. Englisch.
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S-CBIR Algorithm for Image Retrieval in ImageRich Information Networks
DE NW
ISBN: 9783659755309 bzw. 3659755303, in Deutsch, neu.
Lieferung aus: Deutschland, zzgl. Versandkosten.
Social networking and image hosting websites like Facebook and Flickr allow users to upload, tag and share images on internet, such type of sites have millions of users who actually upload millions of images daily. Famous e commerce web sites like amazon, flipkart, and snapdeal etc. also show product related images to customers. Images which are available on social multimedia networking, image hosting and e commerce websites are accompanied by different annotations, tags, comments, and other related information which tend to form an image rich information networks. Due to existence of different related information to images (tags, annotations, comments etc.) retrieval of images from image rich information networks is very challenging and complex task. In this work an integrated approach of algorithms to retrieve an image from image rich information networks is proposed.
Social networking and image hosting websites like Facebook and Flickr allow users to upload, tag and share images on internet, such type of sites have millions of users who actually upload millions of images daily. Famous e commerce web sites like amazon, flipkart, and snapdeal etc. also show product related images to customers. Images which are available on social multimedia networking, image hosting and e commerce websites are accompanied by different annotations, tags, comments, and other related information which tend to form an image rich information networks. Due to existence of different related information to images (tags, annotations, comments etc.) retrieval of images from image rich information networks is very challenging and complex task. In this work an integrated approach of algorithms to retrieve an image from image rich information networks is proposed.
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S-CBIR Algorithm for Image Retrieval in ImageRich Information Networks
~EN NW AB
ISBN: 9783659755309 bzw. 3659755303, vermutlich in Englisch, neu, Hörbuch.
Lieferung aus: Österreich, Lieferzeit: 5 Tage, zzgl. Versandkosten.
Social networking and image hosting websites like Facebook and Flickr allow users to upload, tag and share images on internet, such type of sites have millions of users who actually upload millions of images daily. Famous e commerce web sites like amazon, flipkart, and snapdeal etc. also show product related images to customers. Images which are available on social multimedia networking, image hosting and e commerce websites are accompanied by different annotations, tags, comments, and other related information which tend to form an image rich information networks. Due to existence of different related information to images (tags, annotations, comments etc.) retrieval of images from image rich information networks is very challenging and complex task. In this work an integrated approach of algorithms to retrieve an image from image rich information networks is proposed.
Social networking and image hosting websites like Facebook and Flickr allow users to upload, tag and share images on internet, such type of sites have millions of users who actually upload millions of images daily. Famous e commerce web sites like amazon, flipkart, and snapdeal etc. also show product related images to customers. Images which are available on social multimedia networking, image hosting and e commerce websites are accompanied by different annotations, tags, comments, and other related information which tend to form an image rich information networks. Due to existence of different related information to images (tags, annotations, comments etc.) retrieval of images from image rich information networks is very challenging and complex task. In this work an integrated approach of algorithms to retrieve an image from image rich information networks is proposed.
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S-CBIR Algorithm for Image Retrieval in ImageRich Information Networks - Integration of Link and Content based image retrieval systems
~EN PB NW
ISBN: 9783659755309 bzw. 3659755303, vermutlich in Englisch, LAP Lambert Academic Publishing, Taschenbuch, neu.
Lieferung aus: Deutschland, Versandkostenfrei.
S-CBIR Algorithm for Image Retrieval in ImageRich Information Networks: Social networking and image hosting websites like Facebook and Flickr allow users to upload, tag and share images on internet, such type of sites have millions of users who actually upload millions of images daily. Famous e commerce web sites like amazon, flipkart, and snapdeal etc. also show product related images to customers. Images which are available on social multimedia networking, image hosting and e commerce websites are accompanied by different annotations, tags, comments, and other related information which tend to form an image rich information networks. Due to existence of different related information to images (tags, annotations, comments etc.) retrieval of images from image rich information networks is very challenging and complex task. In this work an integrated approach of algorithms to retrieve an image from image rich information networks is proposed. Englisch, Taschenbuch.
S-CBIR Algorithm for Image Retrieval in ImageRich Information Networks: Social networking and image hosting websites like Facebook and Flickr allow users to upload, tag and share images on internet, such type of sites have millions of users who actually upload millions of images daily. Famous e commerce web sites like amazon, flipkart, and snapdeal etc. also show product related images to customers. Images which are available on social multimedia networking, image hosting and e commerce websites are accompanied by different annotations, tags, comments, and other related information which tend to form an image rich information networks. Due to existence of different related information to images (tags, annotations, comments etc.) retrieval of images from image rich information networks is very challenging and complex task. In this work an integrated approach of algorithms to retrieve an image from image rich information networks is proposed. Englisch, Taschenbuch.
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S-CBIR Algorithm for Image Retrieval in ImageRich Information Networks: Integration of Link and Content based image retrieval systems (Paperback) (2015)
DE PB NW RP
ISBN: 9783659755309 bzw. 3659755303, in Deutsch, LAP Lambert Academic Publishing, Taschenbuch, neu, Nachdruck.
Von Händler/Antiquariat, The Book Depository EURO [60485773], London, United Kingdom.
Language: English Brand New Book ***** Print on Demand *****.
Language: English Brand New Book ***** Print on Demand *****.
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S-CBIR Algorithm for Image Retrieval in ImageRich Information Networks
~EN PB NW
ISBN: 3659755303 bzw. 9783659755309, vermutlich in Englisch, LAP Lambert Academic Publishing, Taschenbuch, neu.
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