Object (computer science)

About: Object (computer science) is a research topic. Over the lifetime, 106024 publications have been published within this topic receiving 1360115 citations. The topic is also known as: obj & Rq.

Image processing apparatus and method, and image pickup apparatus

Abstract: A background image can be separated from an object image in accordance with a mixture state. A region identification block (103) identifies at a first time, an uncovered background region where a foreground object component and a background object component are mixed, identifies at a second time, a foreground region composed of only foreground object components and background region composed of only background object components, and identifies at a third time, a covered background region where the foreground object component and the background object component are mixed. A mixture ratio calculation block (104) detects a mixture ratio indicating a mixture ratio of the foreground object component and the background object component. A foreground and background separation block (105) separates the pixel data into a foreground object component and a background object component. The present invention can be applied to an image processing apparatus.

Associating geographic-related information with objects

Abstract: Techniques for associating geographic-related information with objects are described. In one implementation, a search is conducted on a keyword string of one or more keywords descriptive or otherwise representative of a geographically-relevant object. If a location is identified, geographic-related semantic information of the location is associated with the geographically-relevant object. In some cases, multiple possible locations may be identified as a result of searching the keyword string. If multiple locations are identified, a probable location is determined and then geographic-related semantic information of the probable location is associated with the geographically-relevant object described by the keyword string.

3-D Object Retrieval With Hausdorff Distance Learning

Abstract: In view-based 3-D object retrieval, each object is described by a set of views. Group matching thus plays an important role. Previous research efforts have shown the effectiveness of Hausdorff distance in group matching. In this paper, we propose a 3-D object retrieval scheme with Hausdorff distance learning. In our approach, relevance feedback information is employed to select positive and negative view pairs with a probabilistic strategy, and a view-level Mahalanobis distance metric is learned. This Mahalanobis distance metric is adopted in estimating the Hausdorff distances between objects, based on which the objects in the 3-D database are ranked. We conduct experiments on three testing data sets, and the results demonstrate that the proposed Hausdorff learning approach can improve 3-D object retrieval performance.

Alias-free content-indexed object cache

Abstract: A method for caching information objects is provided. Information objects are stored in portions of a non-volatile storage device called arenas, which are contiguous regions from which space is allocated in parallel. Objects are contiguously allocated within an arena and are mapped to directory tables that provide an efficient search mechanism. Each object is identified by a name key and a content key. The name key is constructed by applying a hash function to the composition of the name or URL of the object along with implicit or explicit context about the request. The content key is constructed by applying a hash function to the entire contents of the object data. Buckets and blocks in the directory tables store tags and subkeys derived from the keys. Since duplicate objects that have different names will hash to the same content key, the cache can detect duplicate objects even though they have different names, and store only one copy of the object. As a result, cache storage usage is dramatically reduced, and tracking object aliases is not required. The disclosure also encompasses a computer apparatus, computer program product, and computer data signal embodied in a carrier wave that are configured similarly.

The Novel Object and Unusual Name (NOUN) Database: A collection of novel images for use in experimental research

Abstract: Many experimental research designs require images of novel objects. Here we introduce the Novel Object and Unusual Name (NOUN) Database. This database contains 64 primary novel object images and additional novel exemplars for ten basic- and nine global-level object categories. The objects’ novelty was confirmed by both self-report and a lack of consensus on questions that required participants to name and identify the objects. We also found that object novelty correlated with qualifying naming responses pertaining to the objects’ colors. The results from a similarity sorting task (and a subsequent multidimensional scaling analysis on the similarity ratings) demonstrated that the objects are complex and distinct entities that vary along several featural dimensions beyond simply shape and color. A final experiment confirmed that additional item exemplars comprised both sub- and superordinate categories. These images may be useful in a variety of settings, particularly for developmental psychology and other research in the language, categorization, perception, visual memory, and related domains.