[PDF] Top 20 Sketch-based Image Retrieval Using SRA Saliency

... Query sketch semantics and the top ranked images ofthe initial results are fully utilized to improve retrieval ...freehand sketch defined with text ...each image issegmented to find the ... See full document

... method based on an interactive genetic algorithm (IGA) is ...color image are used as the features for ...an image is also considered as the surface ...are based on diagram features, our scheme ... See full document

... Each sketch in a database is a collection of strokes [3,4,5,6] and the retrieval is as equivalent to finding a stroke or multiple strokes from the database that matches with the query ...strokes ... See full document

... data using the mathematical models or a matrix of numerical data known as ...the image that is required to identify the image features from the content of ...the image features are extracted ... See full document

... In this work, sketches are simple curve drawings and define the boundaries of an object or a scene. There are 10 folders of 33 sketches in dataset. The sketches of 5 folders are trained and that of the other 5 folders ... See full document

... query sketch, transferred the sketch automatically to the QBS system backend ...by using an ARP descriptor (also as a filter ) will get a brief and fast retrieval image by using ... See full document

... content-based image retrieval, in which a mobile device is used to capture the query image and display the ...hyper-link, using a mobile device as the ...query image in the ... See full document

... salient image regions is useful for applications like image segmentation, adaptive compression, and region- based image ...Here, saliency is determined as the local contrast of an ... See full document

... considerable image collections has brought about the advantages of efficient methods for storage, browsing, indexing and retrieval of ...Content Based Image Access (CBIR) is an programmed ... See full document

... SVM classifier has been used to classify the multi-view images, which is projected from the model in many different view-points. This method was adopted in Eitz[9]. We uniformly put 102 cameras on the bounding sphere of ... See full document

... an image, when representing texts perhaps term occurrence ...weights using a dot product in order to construct a linear predictor function that is used to determine a score for making a ... See full document

... In this chapter we address the problem of learning robust cross-domain representations for sketch-based image retrieval (SBIR). While most SBIR approaches focus on extracting low- and ... See full document

... a sketch based image retrieval ...is based on GF-HOG, SIFT and SSIM descriptor to localize the sketched object within the retrieved ... See full document

... The basic concept is to combine several separate similarity features in a single system, i.e. all features need to be comparable against each other, independent from their characteristics. Otherwise the system only ... See full document

... test image 10 pixels ranked from the top 20% salient locations were picked as positive examples and 10 non-salient pixels from bottom 70% salient regions as negative ...as using all features except ...other ... See full document

... Since the core of SBIR is shape matching, many classic descriptors which are widely used in matching (recognition) tasks can be adopted in SBIR with minor adjustments. Of these descriptors, HOG-based descriptors ... See full document

... Content Based Image Retrieval is the retrieval of images based on visual features such as color, texture and ...large image databases, traditional methods of image ... See full document

... Since Sketch Based Image Retrieval is a young research area, there are a few works on ...is based on a free hand sketch ...a sketch and a colored image to make an ... See full document

... drawing based image retrieval has come into existence with respect to the changing requirements of the interface designs, which includes the techniques of content based ... See full document

... content based image retrieval, named query by image content and Content Based Visual Image Retrieval, which uses the computer vision techniques to solve the ... See full document