TY - GEN
T1 - A method for evaluating the performance of content-based image retrieval systems based on subjectively determined similarity between images
AU - Black, John A.
AU - Fahmy, Gamal
AU - Panchanathan, Sethuraman
N1 - Publisher Copyright:
© Springer-Verlag Berlin Heidelberg 2002.
PY - 2002
Y1 - 2002
N2 - In recent years multimedia researchers have attempted to design content-based image retrieval systems. However, despite the development of these systems, the term "content" has still remained rather ill defined, and this has made the evaluation of such systems problematic. This paper proposes a method for the creation of a reference image set in which the similarity of each image pair is estimated by two independent methods – by the subjective evaluation of human observers, and by the use of “visual content words” as basis vectors that allow the multidimensional content of each image to be represented with a content vector. The similarity measure computed with these content vectors is shown to correlate with the subjective judgment of human observers, and thus provides both a more objective method for evaluating and expressing image content, and a possible path to automating the process of content-based indexing in the future.
AB - In recent years multimedia researchers have attempted to design content-based image retrieval systems. However, despite the development of these systems, the term "content" has still remained rather ill defined, and this has made the evaluation of such systems problematic. This paper proposes a method for the creation of a reference image set in which the similarity of each image pair is estimated by two independent methods – by the subjective evaluation of human observers, and by the use of “visual content words” as basis vectors that allow the multidimensional content of each image to be represented with a content vector. The similarity measure computed with these content vectors is shown to correlate with the subjective judgment of human observers, and thus provides both a more objective method for evaluating and expressing image content, and a possible path to automating the process of content-based indexing in the future.
UR - http://www.scopus.com/inward/record.url?scp=84937553087&partnerID=8YFLogxK
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U2 - 10.1007/3-540-45479-9_38
DO - 10.1007/3-540-45479-9_38
M3 - Conference contribution
AN - SCOPUS:84937553087
T3 - Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
SP - 356
EP - 366
BT - Image and Video Retrieval - International Conference, CIVR 2002, Proceedings
A2 - Lew, Michael S.
A2 - Sebe, Nicu
A2 - Eakins, John P.
PB - Springer Verlag
T2 - International Conference on Image and Video Retrieval, CIVR 2002
Y2 - 18 July 2002 through 19 July 2002
ER -