With the explosive growth of multimedia contents, multimedia retrieval is facing unprecedented challenges on both storage cost and retrieval speed. Hashing technique can project the high-dimensional data into compact binary hash codes. With it, the most ...

Content-based video retrieval has been well investigated. However, despite the importance, few studies on video subsequence identification, which is to find the similar content to a short query clip from a long video sequence, have been published. This ...

Skyline query is of great importance in many applications, such as multi-criteria decision making and business planning. In particular, a skyline point is a data object in the database whose attribute vector is not dominated by that of any other ...

In this paper, we propose an image semantic model based on the knowledge and criteria in the field of linguistics and taxonomy. Our work bridges the "semantic gap" by seamlessly exploiting the synergy of both visual feature processing and semantic ...

We present a genetic algorithm to tackle a file assignment problem for a large scale video-on-demand system. The file assignment problem is to find the optimal replication and allocation of movie files to disks, so that the request blocking probability ...

Similarity-based search has been a key factor for many applications, such as multimedia retrieval, data mining, web search and retrieval, and so on. There are two important issues related to the the similarity search, namely the design of a distance ...

Relevance feedback (RF) is an iterative process which refines the retrievals by utilizing the user's feedback on previously retrieved results. Traditional RF techniques use solely the short-term learning experience and do not exploit the knowledge ...

In a large-scale multimedia storage system (LMSS) where client requests for different multimedia objects may have different demands, placement and replication of the objects is an important factor, as it may result in an imbalance in server loading ...

One of the fundamental problems in Content-Based Image Retrieval (CBIR) has been the gap been low level visual features and high level semantic concepts. To narrow down this gap, relevance feedback is introduced into image retrieval. With the user ...

We present a normalization framework for designing of multimedia database schemes with reduced manipulation anomalies. To this end we introduce new extended dependencies involving different types of multimedia data. Such dependencies are based on ...

In contrast to other database applications, multimedia data can have a wide range of quality parameters, such as spatial and temporal resolution and compression format. Users can request data with specific quality requirements due to the needs of their ...

Complex queries on trajectory data are increasingly common in applications involving moving objects. MBR or grid-cell approximations on trajectories perform suboptimally since they do not capture the smoothness and lack of internal area of trajectories. ...

With the rapid increase in both centralized video archives and distributed WWW video resources, content-based video retrieval is gaining its importance. To support such applications efficiently, content-based video indexing must be addressed. Typically, ...

We design a Tree-based Forward Digest Protocol (TFDP) to verify data integrity in distributed media streaming for content distribution. Several challenges arise, including the timing constraint of streaming sessions, the involvement of multiple senders, ...

Advances in the media and entertainment industries, including streaming audio and digital TV, present new challenges for managing and accessing large audio-visual collections. Current content management systems support retrieval using low-level features,...

Spatial relationships between objects are important features for designing a content-based image retrieval system. In this paper, we propose a new scheme, called 9D-SPA representation, for encoding the spatial relations in an image. With this ...

With the rising popularity and importance of document images as an information source, information retrieval in document image databases has become a growing and challenging problem. In this paper, we propose an approach with the capability of matching ...

A typical content-based image retrieval (CBIR) system would need to handle the vagueness in the user queries as well as the inherent uncertainty in image representation, similarity measure, and relevance feedback. In this paper, we discuss how fuzzy set ...

This paper presents the planning scheme for a cooperative agent-based multimedia retrieval architecture that integrates a heterogeneous set of repositories into a coherent information system. The agents in the system collaborate in context of a ...