Title :
Exploring the nature and variants of relevance feedback
Author :
Zhou, Xiang Sean ; Huang, Thomas S.
Author_Institution :
Beckman Inst. for Adv. Sci. & Technol., Illinois Univ., Urbana, IL, USA
Abstract :
We analyze the nature of the relevance feedback problem in a continuous representation space in the context of multimedia information retrieval. Emphasis is put on exploring the uniqueness of the problem and comparing the assumptions, implementations, and merits of various solutions in the literature. An attempt is made to compile a list of critical issues to consider when designing a relevance feedback algorithm. With a state-of-the-art review as the main portion, the paper also offers some novel solutions and perspectives throughout the discussion
Keywords :
bibliographies; content-based retrieval; image retrieval; multimedia computing; relevance feedback; CBIR; content-based image retrieval; continuous representation space; critical issues; multimedia information retrieval; relevance feedback algorithm; relevance feedback problem; uniqueness; Algorithm design and analysis; Content based retrieval; Feedback; Humans; Image retrieval; Information analysis; Information retrieval; Space technology; Support vector machine classification; Support vector machines;
Conference_Titel :
Content-Based Access of Image and Video Libraries, 2001. (CBAIVL 2001). IEEE Workshop on
Conference_Location :
Kauai, HI
Print_ISBN :
0-7695-1354-9
DOI :
10.1109/IVL.2001.990862
