The Infona portal uses cookies, i.e. strings of text saved by a browser on the user's device. The portal can access those files and use them to remember the user's data, such as their chosen settings (screen view, interface language, etc.), or their login data. By using the Infona portal the user accepts automatic saving and using this information for portal operation purposes. More information on the subject can be found in the Privacy Policy and Terms of Service. By closing this window the user confirms that they have read the information on cookie usage, and they accept the privacy policy and the way cookies are used by the portal. You can change the cookie settings in your browser.
This paper proposes a Bag of Visual Words (BoVW) based approach for keyword spotting on the Mongolian historical document images. In this paper, the first step is dividing the scanned Mongolian historical document images into word images by some preprocessing steps, such as connected component analysis, binarization
Enquiring about and understanding what is going on around ourselves is a fundamental and natural human behaviour. The psychological concept of sense of place considers our individual perceptions of particular locations at particular times. In addition to the immediate properties of our environment, it is also strongly dependent on our individual traits, purpose and relationships as they evolve and...
Representational state transfer (REST) is the current design standard for Web Application Programmable Interfaces (Web APIs or APIs). Unfortunately, existing Web API search engines allow for only keyword or tag-based searches for RESTful services without considering advanced functionality, such as contextual
event can be effortlessly found using keyword matching, but there are numerous tweets that are likely to contain information that is semantically identical. Moreover, there exist many systems for recapitulating tweets related to a particular event, but they have numerous limitations and are unable to provide accurate
The trends in a research field, especially changes in the features over the years, are subjects of interest for many researchers. This paper reports an exploratory analysis of the changes of research topics in an academic field. The target data of the analysis are the author-keywords included in papers presented at a
Image annotation plays an important role in image retrieval and understanding. Various techniques have been proposed for assigning keywords to images. One of the most frequently used methods is to search annotated images with similar visual features, and keywords are transfered to new coming images. This leads to the
In this paper, we propose a new method to select relevant images to the given keywords from the images gathered from the Web. Our novel method is based on the probabilistic latent semantic analysis (PLSA) model, which is a generative probabilistic topic model. Firstly, we gather images related to the given keywords
need to handle the text information gathered from Plurk (the world-famous social network) to carry out regularization. We make use of the data mining method to analyze the information on the subject of music interest. We classify various types of songs. They also substitute these keywords called different degree of
keywords in flash cards accompanying with visual images and quantitative weightings. The researchers utilized the flash cards as heuristic tools to develop new designs of a table lamp and a salt shaker. The resulted designs reflect Kaohsiung city images successfully.
similarity between the video frames and the query keywords. The final video thumbnail is generated by linear fusion of the above two scores. Compared with the existing web video thumbnails, which only reflect the preference of the video owner, the thumbnails generated in our approach not only consider the video content
Set the date range to filter the displayed results. You can set a starting date, ending date or both. You can enter the dates manually or choose them from the calendar.