Content factors segmentation with CBIR in real world

Riaz Ahmed Shaikh; Jian Ping Li; Asif Khan; Samundra Deep; Muhammad Hammad Memon; Kamlesh Kumar

doi:10.1109/ICCWAMTIP.2014.7073412

Content factors segmentation with CBIR in real world

Riaz Ahmed Shaikh, Jian Ping Li, Asif Khan, Samundra Deep, Muhammad Hammad Memon, Kamlesh Kumar

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

1 Citation (Scopus)

Abstract

World dynamic situation are full of random changes which include multiple factors like audio, video and image. So cause of concurrent incident and simultaneously device performance requirement become typical for information retrieval. That make segmentation approach a method of combining feature transformation with clustering algorithm which is proposed for adequate retrieval of image, that could take input approach equally as similar platform and after function performance of analyses and processing that methodology make image, audio, video information separate and retrieve them as much clear as possible then give a best clear resultant as per certainty.

Original language	English
Title of host publication	ICCWAMTIP 2014
Subtitle of host publication	2014 11th International Computer Conference on Wavelet Active Media Technology and Information Processing
Place of Publication	Piscataway, NJ
Publisher	Institute of Electrical and Electronics Engineers (IEEE)
Pages	297-300
Number of pages	4
ISBN (Electronic)	9781479972081
DOIs	https://doi.org/10.1109/ICCWAMTIP.2014.7073412
Publication status	Published - 2014
Externally published	Yes
Event	2014 11th International Computer Conference on Wavelet Active Media Technology and Information Processing, ICCWAMTIP 2014 - Sichuan Province, Chengdu, China Duration: 19 Dec 2014 → 21 Dec 2014

Other

Other	2014 11th International Computer Conference on Wavelet Active Media Technology and Information Processing, ICCWAMTIP 2014
Country/Territory	China
City	Sichuan Province, Chengdu
Period	19/12/14 → 21/12/14

Keywords

feature extraction
image segmentation
dynamic texture
CBIR

Access to Document

10.1109/ICCWAMTIP.2014.7073412

Cite this

Shaikh, R. A., Li, J. P., Khan, A., Deep, S., Memon, M. H., & Kumar, K. (2014). Content factors segmentation with CBIR in real world. In ICCWAMTIP 2014: 2014 11th International Computer Conference on Wavelet Active Media Technology and Information Processing (pp. 297-300). Institute of Electrical and Electronics Engineers (IEEE). https://doi.org/10.1109/ICCWAMTIP.2014.7073412

@inproceedings{d62ce19fd0bd4a2181cb7b242f609079,

title = "Content factors segmentation with CBIR in real world",

abstract = "World dynamic situation are full of random changes which include multiple factors like audio, video and image. So cause of concurrent incident and simultaneously device performance requirement become typical for information retrieval. That make segmentation approach a method of combining feature transformation with clustering algorithm which is proposed for adequate retrieval of image, that could take input approach equally as similar platform and after function performance of analyses and processing that methodology make image, audio, video information separate and retrieve them as much clear as possible then give a best clear resultant as per certainty.",

keywords = "feature extraction, image segmentation, dynamic texture, CBIR",

author = "Shaikh, {Riaz Ahmed} and Li, {Jian Ping} and Asif Khan and Samundra Deep and Memon, {Muhammad Hammad} and Kamlesh Kumar",

year = "2014",

doi = "10.1109/ICCWAMTIP.2014.7073412",

language = "English",

pages = "297--300",

booktitle = "ICCWAMTIP 2014",

publisher = "Institute of Electrical and Electronics Engineers (IEEE)",

address = "United States",

note = "2014 11th International Computer Conference on Wavelet Active Media Technology and Information Processing, ICCWAMTIP 2014 ; Conference date: 19-12-2014 Through 21-12-2014",

}

Shaikh, RA, Li, JP, Khan, A, Deep, S, Memon, MH & Kumar, K 2014, Content factors segmentation with CBIR in real world. in ICCWAMTIP 2014: 2014 11th International Computer Conference on Wavelet Active Media Technology and Information Processing. Institute of Electrical and Electronics Engineers (IEEE), Piscataway, NJ, pp. 297-300, 2014 11th International Computer Conference on Wavelet Active Media Technology and Information Processing, ICCWAMTIP 2014, Sichuan Province, Chengdu, China, 19/12/14. https://doi.org/10.1109/ICCWAMTIP.2014.7073412

Content factors segmentation with CBIR in real world. / Shaikh, Riaz Ahmed; Li, Jian Ping; Khan, Asif et al.
ICCWAMTIP 2014: 2014 11th International Computer Conference on Wavelet Active Media Technology and Information Processing. Piscataway, NJ: Institute of Electrical and Electronics Engineers (IEEE), 2014. p. 297-300.

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

TY - GEN

T1 - Content factors segmentation with CBIR in real world

AU - Shaikh, Riaz Ahmed

AU - Li, Jian Ping

AU - Khan, Asif

AU - Deep, Samundra

AU - Memon, Muhammad Hammad

AU - Kumar, Kamlesh

PY - 2014

Y1 - 2014

N2 - World dynamic situation are full of random changes which include multiple factors like audio, video and image. So cause of concurrent incident and simultaneously device performance requirement become typical for information retrieval. That make segmentation approach a method of combining feature transformation with clustering algorithm which is proposed for adequate retrieval of image, that could take input approach equally as similar platform and after function performance of analyses and processing that methodology make image, audio, video information separate and retrieve them as much clear as possible then give a best clear resultant as per certainty.

AB - World dynamic situation are full of random changes which include multiple factors like audio, video and image. So cause of concurrent incident and simultaneously device performance requirement become typical for information retrieval. That make segmentation approach a method of combining feature transformation with clustering algorithm which is proposed for adequate retrieval of image, that could take input approach equally as similar platform and after function performance of analyses and processing that methodology make image, audio, video information separate and retrieve them as much clear as possible then give a best clear resultant as per certainty.

KW - feature extraction

KW - image segmentation

KW - dynamic texture

KW - CBIR

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U2 - 10.1109/ICCWAMTIP.2014.7073412

DO - 10.1109/ICCWAMTIP.2014.7073412

M3 - Conference proceeding contribution

AN - SCOPUS:84946690482

SP - 297

EP - 300

BT - ICCWAMTIP 2014

PB - Institute of Electrical and Electronics Engineers (IEEE)

CY - Piscataway, NJ

T2 - 2014 11th International Computer Conference on Wavelet Active Media Technology and Information Processing, ICCWAMTIP 2014

Y2 - 19 December 2014 through 21 December 2014

ER -

Content factors segmentation with CBIR in real world

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