DocumentCode :
3582870
Title :
Content factors segmentation with CBIR in real world
Author :
Shaikh, Riaz Ahmed ; Deep, Samundra ; Jian-Ping Li ; Memon, Muhammad Hammad ; Khan, Asif ; Kumar, Kamlesh
Author_Institution :
Sch. of Comput. Sci. & Eng., UESTC, Chengdu, China
fYear :
2014
Firstpage :
297
Lastpage :
300
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 :
content-based retrieval; feature extraction; image retrieval; image segmentation; CBIR; clustering algorithm; content factors segmentation; content-based image retrieval; feature transformation; Computer science; Computer vision; Heuristic algorithms; Hidden Markov models; Image segmentation; Information retrieval; Visualization; CBIR; Dynamic Texture; Feature Extraction; Image Segmentation;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Wavelet Active Media Technology and Information Processing (ICCWAMTIP), 2014 11th International Computer Conference on
Print_ISBN :
978-1-4799-7207-4
Type :
conf
DOI :
10.1109/ICCWAMTIP.2014.7073412
Filename :
7073412
Link To Document :
بازگشت