Query by Sketch- A content based image retrieval system
Shahna Ellias, Leena Shaji · 2013
Development in digital photography has led to a huge collection of still images that are stored in digital format. As the demand for digital images increases, the need to store and retrieve images in an efficient manner arises. Most of the available image search tools, such as Google Images and Yahoo! Image search, are based on textual annotation of images. In these tools, images are manually annotated with keywords and then retrieved using text-based search methods. The performances of these systems are not satisfactory. Therefore, the field of content-based image retrieval has emerged as an important research area in computer vision and image processing. The key issue in image retrieval is how to match two images according to computational ly extracted features. . The proposed approach gives maximum freedom to the user by using user-produced pictorial queries (sketches) depicting the wanted image(s), extracts visual features from the images and allows the comparison of database images with queries ,thereby providing best possible retrieval efficiency and time. Fields that can benefit from CBIR applications are almost countless. Among them are art galleries, architectural and engineering design, interior design, geographic information system, weather forecasting, retail, fabric and fashion design, , law enforcement and criminal investigation and picture archiving.