Scalable feature-based video retrieval for mobile devices

Vladan Velisavljevic; Marleen Morbee; Marta Mrak; Wilfried Philips

doi:10.1145/1734605.1734611

Scalable feature-based video retrieval for mobile devices

Vladan Velisavljevic
, Marleen Morbee
, Marta Mrak
, Wilfried Philips

Institute for Research in Engineering and Sustainable Environment (IRESE)

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

Abstract

The authors present a novel method for video retrieval on mobile devices. The target scenario is the following: features are extracted from a captured query video at the user side and transmitted to a remote server; then, video retrieval is applied within a stored database at the server side and relevant information about the query is returned to the user. In particular, we focus on the user side and propose a scalable method for video feature extraction and encoding taking into consideration the processing capabilities of the device and available bandwidth. Despite these constraints, the first results show a promising accuracy of retrieval.

Original language	English
Title of host publication	nan
Publisher	Association for Computing Machinery
ISBN (Electronic)	9781605588407
ISBN (Print)	9781605588407
DOIs	https://doi.org/10.1145/1734605.1734611
Publication status	Published - 23 Nov 2009
Event	ICIMCS '09: First International Conference on Internet Multimedia Computing and Service - Kunming Duration: 23 Nov 2009 → …

Conference

Conference	ICIMCS '09: First International Conference on Internet Multimedia Computing and Service
City	Kunming
Period	23/11/09 → …
Other	ICIMCS '09: First International Conference on Internet Multimedia Computing and Service (Kunming)

Keywords

mobile applications

Access to Document

10.1145/1734605.1734611

http://dl.acm.org/citation.cfm%3Fid%3D1734611

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title = "Scalable feature-based video retrieval for mobile devices",

abstract = "The authors present a novel method for video retrieval on mobile devices. The target scenario is the following: features are extracted from a captured query video at the user side and transmitted to a remote server; then, video retrieval is applied within a stored database at the server side and relevant information about the query is returned to the user. In particular, we focus on the user side and propose a scalable method for video feature extraction and encoding taking into consideration the processing capabilities of the device and available bandwidth. Despite these constraints, the first results show a promising accuracy of retrieval.",

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author = "Vladan Velisavljevic and Marleen Morbee and Marta Mrak and Wilfried Philips",

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T1 - Scalable feature-based video retrieval for mobile devices

AU - Velisavljevic, Vladan

AU - Morbee, Marleen

AU - Mrak, Marta

AU - Philips, Wilfried

PY - 2009/11/23

Y1 - 2009/11/23

N2 - The authors present a novel method for video retrieval on mobile devices. The target scenario is the following: features are extracted from a captured query video at the user side and transmitted to a remote server; then, video retrieval is applied within a stored database at the server side and relevant information about the query is returned to the user. In particular, we focus on the user side and propose a scalable method for video feature extraction and encoding taking into consideration the processing capabilities of the device and available bandwidth. Despite these constraints, the first results show a promising accuracy of retrieval.

AB - The authors present a novel method for video retrieval on mobile devices. The target scenario is the following: features are extracted from a captured query video at the user side and transmitted to a remote server; then, video retrieval is applied within a stored database at the server side and relevant information about the query is returned to the user. In particular, we focus on the user side and propose a scalable method for video feature extraction and encoding taking into consideration the processing capabilities of the device and available bandwidth. Despite these constraints, the first results show a promising accuracy of retrieval.

KW - mobile applications

U2 - 10.1145/1734605.1734611

DO - 10.1145/1734605.1734611

M3 - Conference contribution

SN - 9781605588407

BT - nan

PB - Association for Computing Machinery

T2 - ICIMCS '09: First International Conference on Internet Multimedia Computing and Service

Y2 - 23 November 2009

ER -

Scalable feature-based video retrieval for mobile devices

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Keywords

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