Video segmentation has been an important and challenging issue for many video
applications. Usually there are two different video segmentation approaches, ie, shot-based …

A content-based video parsing and indexing method is presented in this paper, which
analyzes both information sources (auditory and visual) and accounts for their inter-relations …

This paper describes an original approach for content-based video indexing and retrieval.
We aim at providing a global interpretation of the dynamic content of video shots without any …

This paper presents a bibliography of over 2250 references related to computer vision and
image analysis, arranged by subject matter. The topics covered include computational …

This paper proposes a novel algorithm for extracting key frames to represent video shots.
Regarding whether, or how well, a key frame represents a shot, different interpretations have …

In this paper we present a probabilistic framework for mapping low-level visual features into
a specific set of semantic descriptors. Specifically, we employ hidden Markov models …

We present a hierarchical approach to model video shots in three levels: object level (OL),
frame level (FL), and shot level (SL). The model captures the visual features of individual …

In this paper, we propose a coherent framework for joint key-frame extraction and object-
based video segmentation. Conventional key-frame extraction and object segmentation are …

A typical content-based information retrieval (CBIR) system, eg, an image or video retrieval
system, includes three major aspects: feature extraction, high dimensional indexing and …

In the past few years, modeling and querying video databases have been a subject of
extensive research to develop tools for effective search of videos. In this paper, we present a …