Search Results

SnapSeek 2.0 is a novel system designed for information retrieval from videos participating in the Video Browser Showdown 2025. The system aims to enhance interactivity and accelerate query input speed by employing a human feedback procedure and ...

Exquisitor is a multimedia retrieval system designed to combine conversational search and user relevance feedback to enhance interactive video search. In this work, we present recent improvements to Exquisitor, focusing on integrating these two ...

With the rapid development of multimedia technologies, the efficient retrieval of large-scale multimedia information is regarded as a critical area to research. Hashing methods have achieved superiority as an effective solution for multimedia ...

• Proposed a novel supervised semantic-embedding hashing method.
• Designed a Semantic-Enhanced Representation module.
• Proposed a Class Structure Preservation to extract the semantic relationships.
• Evaluated the effectiveness of ...

Despite the advances in machine learning techniques, similarity assessment among multimedia data remains a challenging task of broad interest in computer science. Substantial progress has been achieved in acquiring meaningful data representations,...

• Comprehensive survey on unsupervised post-processing methods for image retrieval.
• Discussion including a brief history, organization, and evolution of the area.
• Analysis of literature trends through keywords network analysis.
• A ...

Cross-modal hashing has attracted a lot of attention and achieved remarkable success in large-scale cross-media similarity retrieval applications because of its superior computational efficiency and low storage overhead. However, constructing ...

• We propose an informative multimodal correlation matrix construction approach.
• We propose a multimodal structure-aware alignment network to bridge heterogeneous gaps.
• Extensive experiments show SACH’s superiority in cross-modal ...

The acquisition of multi-view hash representation for heterogeneous data holds paramount importance in the domain of multimedia retrieval. The limited retrieval precision observed in current approaches stems from their inadequate integration of ...

• We propose a novel multi-view hash method, which achieves state-of-the-art results in multimedia retrieval.
• We propose a deep metric loss to obtain information provided by dissimilar samples.
• We use Context Gating to address the ...

An important open problem in video retrieval and exploration concerns the generation and refinement of queries for complex tasks that standard methods are unable to solve, especially when the systems are used by novices. In conversational search, ...

Recent years have shown unprecedented growth of interest in Vision-Language related tasks, with the need to address the inherent challenges of integrating linguistic and visual information to solve real-world applications. Such a typical task is Visual ...

The growth of media archives (including text, speech, video and audio) has led to significant interest in developing search methods for multimedia content. An ongoing challenge of multimedia search is user interaction during the search process, ...

Recently, the CLIP model demonstrated impressive performance in text-image search and zero classification tasks. Hence, CLIP was used as a primary model in many cross-modal search tools at evaluation campaigns. In this paper, we show a study ...

The extensive information delivery power and an immense volume of image objects make them frequently use multimedia content over the web. However, access to desired image objects to satisfy visual information needs by employing primitive ...

In the last decade, user-centric video search competitions have facilitated the evolution of interactive video search systems. So far, these competitions focused on a small number of search task categories, with few attempts to change task ...

This paper presents a novel method for content-based color image retrieval that combines color vector quantization and visual primary features into a compact feature representation. Color vector quantization is proposed to describe the image in a ...

Decision-making in our everyday lives is surrounded by visually important information. Fashion, housing, dating, food or travel are just a few examples. At the same time, most commonly used tools for information retrieval operate on relational and ...

Digitized historical image collections as provided by individuals or memory institutions often suffer from limited or a complete lack of metadata In this paper, we present the City-Stories system that combines entity linking, multimedia retrieval, ...

This paper proposes a similarity ranking technique that exploits the entire network structure of similarity relationships for multimedia, particularly image, databases. The main problem in the similarity ranking on multimedia is the meaning gap ...

With the quick development of social websites, there are more opportunities to have different media types (such as text, image, video, etc.) describing the same topic from large-scale heterogeneous data sources. To efficiently identify the inter-media ...

Cross-media retrieval is a technology aimed at breaking through the shackles of single-mode retrieval technology, which is limited to the same multimedia form. It is also hoped to be able to search each other across the media form. Comprehensive ...

In social image retrieval, the main goal is to offer a relevant but also diverse result set of images to the user. To address relevance and diversity at the same time, we propose a multi-modal procedure. This approach deals with the ...

• This paper proposes a multimedia approach to deal with relevance and diversity.

Since the 1970’s the Content-Based Image Indexing and Retrieval (CBIR) has been an active area. Nowadays, the rapid increase of video data has paved the way to the advancement of the technologies in many different communities for the creation of ...