A Refined Hybrid Image Retrieval System using Text and Color
Image retrieval (IR) continues to be most exciting and fastest growing research areas due to significant progress in data storage and image acquisition techniques. Broadly, Image Retrieval can be Text based or Content based. Text-based Image Retrieval (TBIR) is proficient in ‘named-entity queries (e.g. searching images of ‘TajMahal. Content Based Image Retrieval (CBIR) shows its proficiency in querying by visual content. Both the techniques having their own advantages and disadvantages and still have not been very successful in uncovering the hidden meanings/semantics of the image. In this paper, we propose a hybrid approach that improves the quality of image retrieval and overcomes the limitations of individual approaches. For text retrieval, matching term frequency-inverse document frequency (tf-idf) weightings and cosine similarity are used, whereas for content matching the search space is narrowed down using color moments and then the two results obtained are combined to show better results than the individual approaches. Further refinement using color histogram technique improves the performance of the system significantly.
Keywords: CBIR, TBIR, Color moments, Color Histogram
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ABOUT THE AUTHORS
Nidhi Goel
First Author Nidhi Goel graduated in Physics from University of Delhi in 2006, received MCA degree from GGS Indraprastha University, Delhi in 2009 and is currently pursuing Ph.D. in Computer Science from the Department of Computer Science, University of Delhi .She was lecturer in Delhi Institute of Advanced studies, GGS Indraprastha University.
Priti Sehgal
Second Author Dr. Priti Sehgal received her Ph.D. in Computer Science from the Department of Computer Science, University of Delhi, India in 2006 and her M. Sc. in Computer Science from DAVV, Indore, India in 1994. She is an Associate Professor in the Department of Computer Science, Keshav Mahavidyalaya, University of Delhi. She has about 17 years of teaching and research experience and has published papers in National/International Journals/Conferences. Dr. Sehgal has been a member of the program committee of the CGIV International Conference and is a life member of Computer Society of India. Her research interests include Computer Graphics, Image Processing, Biometrics, Visualization and Image Retrieval.
Nidhi Goel
First Author Nidhi Goel graduated in Physics from University of Delhi in 2006, received MCA degree from GGS Indraprastha University, Delhi in 2009 and is currently pursuing Ph.D. in Computer Science from the Department of Computer Science, University of Delhi .She was lecturer in Delhi Institute of Advanced studies, GGS Indraprastha University.
Priti Sehgal
Second Author Dr. Priti Sehgal received her Ph.D. in Computer Science from the Department of Computer Science, University of Delhi, India in 2006 and her M. Sc. in Computer Science from DAVV, Indore, India in 1994. She is an Associate Professor in the Department of Computer Science, Keshav Mahavidyalaya, University of Delhi. She has about 17 years of teaching and research experience and has published papers in National/International Journals/Conferences. Dr. Sehgal has been a member of the program committee of the CGIV International Conference and is a life member of Computer Society of India. Her research interests include Computer Graphics, Image Processing, Biometrics, Visualization and Image Retrieval.
