Fast Object Retrieval Using Direct Spatial Matching
نویسندگان
چکیده
منابع مشابه
Fast structural matching for document image retrieval through spatial databases
The structure of document images plays a significant role in document analysis thus considerable efforts have been made towards extracting and understanding document structure, usually in the form of layout analysis approaches. In this paper, we first employ Distance Transform based MSER (DTMSER) to efficiently extract stable document structural elements in terms of a dendrogram of key-regions....
متن کاملFast Least Square Matching
Least square matching (LSM) is one of the most accurate image matching methods in photogrammetry and remote sensing. The main disadvantage of the LSM is its high computational complexity due to large size of observation equations. To address this problem, in this paper a novel method, called fast least square matching (FLSM) is being presented. The main idea of the proposed FLSM is decreasing t...
متن کاملImage Retrieval Using Local Object Appearance and Spatial Color Layout
In the current scenario, information retrieval is one of the major research areas. The retrieval process in image databases, evaluation of similarity and their mutual relationships depends on the content representation with various features. Since 1992, the multidimensional research has been carried out to meet out the aim with color, shape, texture and spatial layout as the features. In this p...
متن کاملFast gradual matching measure for image retrieval based on visual similarity and spatial relations
In this paper, we propose a new method to retrieve images containing a request set of regions. The user is asked to specify a set of regions belonging to a single image. Then this request set of regions is compared to the sets of the regions of the images in the database. We propose a comparison measure that not only evaluates the similarity of regions one to the other, but that also takes into...
متن کاملSpatial Keypoint Representation for Visual Object Retrieval
This paper presents a concept of an object pre-classification method based on image keypoints generated by the SURF algorithm. For this purpose, the method uses keypoints histograms for image serialization and next histograms tree representation to speed-up the comparison process. Presented method generates histograms for each image based on localization of generated keypoints. Each histogram c...
متن کاملذخیره در منابع من
با ذخیره ی این منبع در منابع من، دسترسی به آن را برای استفاده های بعدی آسان تر کنید
ژورنال
عنوان ژورنال: IEEE Transactions on Multimedia
سال: 2015
ISSN: 1520-9210,1941-0077
DOI: 10.1109/tmm.2015.2446201