image retrieval is an important research field which has received great attention in the last decades. in this paper, we present an approach for the image retrieval based on the combination of text-based and content-based features. for text-based features, keywords and for content-based features, color and texture features have been used. query in this system contains some keywords and an input...

This paper presents two approaches to spoken document retrieval – search in LVCSR recognition lattices and in phoneme lattices. For the former one, an efficient method of indexing and search of multi-word queries is discussed. In phonetic search, the indexation of triphoneme sequences is investigated. The results in terms of response time to single and multi-word queries are evaluated on ICSI m...

Efficient image retrieval from large image databases is a challenging problem. In this paper we present a method offering constant time complexity for the comparison of two shapes. In order to achieve this, we extend the qualitative concept of positional-contrast by 86 new relations describing the position of a polygon w. r. t. its line segments. On this basis a histogram of the relations’ freq...

Supporting top-k document retrieval queries on general text databases, that is, finding the k documents where a given pattern occurs most frequently, has become a topic of interest with practical applications. While the problem has been solved in optimal time and linear space, the actual space usage is a serious concern. In this paper we study various reduced-space structures that support top-k...

Queries for similarity-based time series data retrieval can be categorized into two types: (1) pattern existence queries, and (2) exact match queries. Pattern existence queries find the time series data with certain patterns while exact match queries search over the time series data by specifying exact values and detailed temporal information. In this paper, we propose multi-scale time series h...

We offer a preliminary application of survival analysis to the problem of ranking documents in a time-aware setting. Specifically, we focus on microblog retrieval where recency is often positively correlated with relevance. We propose a method of temporal retrieval based on estimation of an exponential distribution’s parameter by use of partial maximum likelihood.

In spoken term detection, the detection of out-of-vocabulary (OOV) query terms is very important because of the high probability of OOV query terms occurring. This paper proposes a re-ranking method for improving the detection accuracy for OOV query terms after extracting candidate sections by conventional method. The candidate sections are ranked by using dynamic time warping to match the quer...

We have developed a summarization method that creates a summary suitable for the process of sifting information retrieval results. Unlike conventional methods that extract important sentences, this method constructs short phrases to reduce the burden of reading long sentences. We developed an improved task-based evaluation method and applied to prove the effectiveness of phrase-represented summ...