Earticle

초록

영어

In this paper, we introduce a novel method for extracting “topics” as interesting events in a video. Here, we define the interestingness of an event by the anomaly of a target character’s appearance and disappearance pattern. As examples of abnormal patterns, shot durations in
thrilling events are very short while shot durations in romantic events are very long. In contrast, as an example of non-abnormal pattern, conversation events are presented by the pattern, where the target character repeatedly appears in one shot and then another character appears in the next shot. From the above point of view, our topic extraction method aims to detect the following two types of abnormal patterns, called “bursts”. The first type of burst is a pattern where the target character appears in shots with very short durations, while the second is a pattern where he/she appears in shots with very long durations. To detect such bursts, we firstly divide the video into events characterized by specific patterns of the target character’s ppearance and disappearance. We locate these patterns in the video by using time series segmentation technique. Then, we extract topics by examining whether the pattern in each event can be regarded as a burst or not. Experiments on different videos validate that a character's ppearance and disappearance patterns are effective for obtaining semantically meaningful events. And, bursts are useful for extracting many interesting topics.

목차

Abstract
 1. Introduction
 2. Basic Concept
 3. Topic Extraction by Burst Detection
  3.1. Video Segmentation Method
  3.2. Burst Intensity Measure
 4. Experiments
  4.1. Results of Video Segmentation
  4.2. Results of Topic Extraction
 5. Conclusion and Future Works
 6. References

저자

• Kimiaki Shirahama [ Graduate School of Economics, Kobe University ]
• Kuniaki Uehara [ Graduate School of Engineering, Kobe University ]

참고문헌

발행기관

간행물

표지보기 관심저널 등록

• 간행물명

  International Journal of Hybrid Information Technology

• 간기

  격월간

• pISSN

  1738-9968

• 수록기간

  2008~2016

• 십진분류

  KDC 505 DDC 605