The complexity of multimedia contents is significantly increasing in the current digital world.
This yields an exigent demand for developing highly effective retrieval systems to satisfy …

Introduction Page 8 Rita Schlusemann, Helwi Blom, Anna Katharina Richter, and Krystyna
Wierzbicka-Trwoga Introduction Wil man och säija sin Meening och Skääl med fåå Ordh/ som …

Efficient query expansion (QE) terms selection methods are really very important for
improving the accuracy and efficiency of the system by removing the irrelevant and …

In this paper, we propose an extremely efficient algorithm for visual re-ranking. By
considering the original pairwise distance in the contextual space, we develop a feature …

This paper presents a novel approach to visual objects classification based on generating
simple fuzzy classifiers using local image features to distinguish between one known class …

Query expansion term selection methods are really very important for improving the
accuracy and efficiency of pseudo-relevance feedback based automatic query expansion for …

In this paper, a novel fuzzy logic-based expansion approach considering the relevance
score produced by different rank aggregation approaches is proposed. It is well known that …

Content‐based image retrieval (CBIR) is a mechanism that is used to retrieve similar images
from an image collection. In this paper, an effective novel technique is introduced to improve …

Given the great success of Convolutional Neural Network (CNN) for image representation
and classification tasks, we argue that Content-Based Image Retrieval (CBIR) systems could …

Diffusion process has advanced object retrieval greatly as it can capture the underlying
manifold structure. Recent studies have experimentally demonstrated that tensor product …