+ The work reported in this paper was mainly performed when this author was working at Microsoft Research, China as a research intern. In this paper, we present a novel scheme on video content representation by exploring the spatiotemporal information. A pseudo-object-based shot representation containing more semantics is proposed to measure shot similarity and an force competition approach is ...

The purpose of video segmentation is to segment video sequence into shots where each shot represents a sequence of frames having the same contents, and then select key frames from each shot for indexing. Existing video segmentation Ž . methods can be classified into two groups: the shot change detection SCD approach for which thresholds have to be pre-assigned, and the clustering approach for w...

In this paper we propose schemes for using learning in video analysis tasks like content based filtering and shot summarization. Shot segmentation is performed by our neuro-fuzzy framework, which extracts fuzzy rules for video segmentation from the trained neuro-fuzzy network. We explore Independent Component Analysis and extract Independent Components that act as features for describing the co...

A video stream consists of a number of shots each of which has the boundary property, such as cut, fade, dissolve, wipe, etc. The shot boundary such like cut is detected easily through any previous works. However, the videos with more than two types of shot and the large motion of camera or objects have difficulties in extracting the boundary between the adjacent shots. False alarms are increas...

Since the mass growing amount of sports video has been produced, how to analysis and to make event mining in video content management issues are become more and more important. In this paper, we developed a shot ontology description based for the basketball video. Shot ontology is inferred by shot manipulations those included: shot detection, shot type classification, score board detection and ...

The segmentation and classification of news video into single-story semantic units is a challenging problem. This research proposes a two-level, multi-modal framework to tackle this problem. The video is analyzed at the shot and story unit (or scene) levels using a variety of features and techniques. At the shot level, we employ a Decision Tree to classify the shot into one of 13 pre-defined ca...

The illusion of control refers to a phenomenon whereby people believe their chances of success at a task are greater than would be warranted by objective analysis. This article raises two questions. First, how robust is the illusion of control? Second, how might the illusion be 'shattered?' Previous experimental demonstrations involved situations that can be likened to unique or single-shot gam...

BACKGROUND Shot (previously named Kakapo), is a Drosophila Plakin family member containing both Actin binding and microtubule binding domains. In Drosophila, it is required for a wide range of processes, including axon extension, dendrite formation, axonal terminal arborization at the neuromuscular junction, tendon cell development, and adhesion of wing epithelium. RESULTS To address how Shot...

Partitioning a video sequence into shots is the first step toward video-content analysis and content-based video browsing and retrieval. A video shot is defined as a series of interrelated consecutive frames taken contiguously by a single camera and representing a continuous action in time and space. As such, shots are considered to be the primitives for higher level content analysis, indexing,...

This paper presents an overview of different research paradigms that are used in research. The aim of this article focuses on qualitative research. Qualitative research has gaining momentum for the past decade or so. Unfortunately, not many people fully understand how to conduct a well designed qualitative research. It is hoped that this article can provide some guidance and assistance to those...