Video stream retrieval based on temporal feature of frame difference

Mikito Toguro; Kenji Suzuki; Pitoyo Hartono; Shuji Hashimoto

doi:10.1109/ICASSP.2005.1415437

Video stream retrieval based on temporal feature of frame difference

Mikito Toguro^*, Kenji Suzuki, Pitoyo Hartono, Shuji Hashimoto

^*Corresponding author for this work

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

4 Citations (Scopus)

Abstract

In recent years, we can easily access an enormous amount of digital video stream in standardized video format such as MPEG and etc. However, it is not so easy to find a desired video stream from video database in reasonable short time. Some efficient searching methods in terms of computational cost are definitely required for video stream retrieval. In this paper, we propose a novel method for video stream retrieval using a video stream as search-key. The objective is to find a part of the video stream stored in the database that is similar to the given video stream key. This method extracts some characteristics in frame transition in video streams, and utilizes the characteristic for the similarity matching. Some experimental results are also shown to verify the efficiency of the proposed method.

Original language	English
Title of host publication	ICASSP, IEEE International Conference on Acoustics, Speech and Signal Processing - Proceedings
Volume	II
DOIs	https://doi.org/10.1109/ICASSP.2005.1415437
Publication status	Published - 2005
Event	2005 IEEE International Conference on Acoustics, Speech, and Signal Processing, ICASSP '05 - Philadelphia, PA Duration: 2005 Mar 18 → 2005 Mar 23

Other

Other	2005 IEEE International Conference on Acoustics, Speech, and Signal Processing, ICASSP '05
City	Philadelphia, PA
Period	05/3/18 → 05/3/23

Keywords

Feature matrix
Frame transition
Similarity matching
Video stream retrieval

ASJC Scopus subject areas

Electrical and Electronic Engineering
Signal Processing
Acoustics and Ultrasonics

Access to Document

10.1109/ICASSP.2005.1415437

Cite this

Toguro, M, Suzuki, K, Hartono, P & Hashimoto, S 2005, Video stream retrieval based on temporal feature of frame difference. in ICASSP, IEEE International Conference on Acoustics, Speech and Signal Processing - Proceedings. vol. II, 1415437, 2005 IEEE International Conference on Acoustics, Speech, and Signal Processing, ICASSP '05, Philadelphia, PA, 05/3/18. https://doi.org/10.1109/ICASSP.2005.1415437

@inproceedings{52681d8ce4c34c8293526b8bcd18b968,

title = "Video stream retrieval based on temporal feature of frame difference",

abstract = "In recent years, we can easily access an enormous amount of digital video stream in standardized video format such as MPEG and etc. However, it is not so easy to find a desired video stream from video database in reasonable short time. Some efficient searching methods in terms of computational cost are definitely required for video stream retrieval. In this paper, we propose a novel method for video stream retrieval using a video stream as search-key. The objective is to find a part of the video stream stored in the database that is similar to the given video stream key. This method extracts some characteristics in frame transition in video streams, and utilizes the characteristic for the similarity matching. Some experimental results are also shown to verify the efficiency of the proposed method.",

keywords = "Feature matrix, Frame transition, Similarity matching, Video stream retrieval",

author = "Mikito Toguro and Kenji Suzuki and Pitoyo Hartono and Shuji Hashimoto",

year = "2005",

doi = "10.1109/ICASSP.2005.1415437",

language = "English",

isbn = "0780388747",

volume = "II",

booktitle = "ICASSP, IEEE International Conference on Acoustics, Speech and Signal Processing - Proceedings",

note = "2005 IEEE International Conference on Acoustics, Speech, and Signal Processing, ICASSP '05 ; Conference date: 18-03-2005 Through 23-03-2005",

}

TY - GEN

T1 - Video stream retrieval based on temporal feature of frame difference

AU - Toguro, Mikito

AU - Suzuki, Kenji

AU - Hartono, Pitoyo

AU - Hashimoto, Shuji

PY - 2005

Y1 - 2005

N2 - In recent years, we can easily access an enormous amount of digital video stream in standardized video format such as MPEG and etc. However, it is not so easy to find a desired video stream from video database in reasonable short time. Some efficient searching methods in terms of computational cost are definitely required for video stream retrieval. In this paper, we propose a novel method for video stream retrieval using a video stream as search-key. The objective is to find a part of the video stream stored in the database that is similar to the given video stream key. This method extracts some characteristics in frame transition in video streams, and utilizes the characteristic for the similarity matching. Some experimental results are also shown to verify the efficiency of the proposed method.

AB - In recent years, we can easily access an enormous amount of digital video stream in standardized video format such as MPEG and etc. However, it is not so easy to find a desired video stream from video database in reasonable short time. Some efficient searching methods in terms of computational cost are definitely required for video stream retrieval. In this paper, we propose a novel method for video stream retrieval using a video stream as search-key. The objective is to find a part of the video stream stored in the database that is similar to the given video stream key. This method extracts some characteristics in frame transition in video streams, and utilizes the characteristic for the similarity matching. Some experimental results are also shown to verify the efficiency of the proposed method.

KW - Feature matrix

KW - Frame transition

KW - Similarity matching

KW - Video stream retrieval

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U2 - 10.1109/ICASSP.2005.1415437

DO - 10.1109/ICASSP.2005.1415437

M3 - Conference contribution

AN - SCOPUS:33646821036

SN - 0780388747

SN - 9780780388741

VL - II

BT - ICASSP, IEEE International Conference on Acoustics, Speech and Signal Processing - Proceedings

T2 - 2005 IEEE International Conference on Acoustics, Speech, and Signal Processing, ICASSP '05

Y2 - 18 March 2005 through 23 March 2005

ER -

Video stream retrieval based on temporal feature of frame difference

Abstract

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Keywords

ASJC Scopus subject areas

Access to Document

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