Context-Based Semantic Similarity and Document Retrieval

Word Semantic Similarity based on document title

Motion Activity Based Semantic Video Similarity Retrieval

Semantic feature extraction of video shots and fast video sequence matching are important and required for efficient retrieval in a large video database. In this paper, a novel mechanism of similarity retrieval is proposed. Similarity measure between video sequences considering the spatio-temporal variation through consecutive frames is presented. For bridging the semantic gap between low-level...

A Context-based Model of Semantic Similarity

Lexical co-occurrence counts from large corpora have been used to construct highdimensional vector-space models of language.. Distances between word vectors extracted from these models are generally considered to reflect semantic similarity. Implicit in this assumption is that ‘semantic distance’ measurements correspond to human intuitions. This paper investigates the validity of one such measu...

Document Retrieval using Predication Similarity

Document retrieval has been an important research problem over many years in the information retrieval community. State-of-the-art techniques utilize various methods in matching documents to a given document including keywords, phrases, and annotations. In this paper, we propose a new approach for document retrieval that utilizes predications (subject-predicate-object triples) extracted from th...

Document Image Retrieval Based on Keyword Spotting Using Relevance Feedback

Keyword Spotting is a well-known method in document image retrieval. In this method, Search in document images is based on query word image. In this Paper, an approach for document image retrieval based on keyword spotting has been proposed. In proposed method, a framework using relevance feedback is presented. Relevance feedback, an interactive and efficient method is used in this paper to imp...