Video shot boundary detection based on candidate segment selection and transition pattern analysis

Conference proceedings article

ผู้เขียน/บรรณาธิการ

กลุ่มสาขาการวิจัยเชิงกลยุทธ์

ไม่พบข้อมูลที่เกี่ยวข้อง

รายละเอียดสำหรับงานพิมพ์

รายชื่อผู้แต่ง: Tippaya S., Sitjongsataporn S., Tan T., Chamnongthai K., Khan M.

ผู้เผยแพร่: Hindawi

ปีที่เผยแพร่ (ค.ศ.): 2015

Volume number: 2015-September

หน้าแรก: 1025

หน้าสุดท้าย: 1029

จำนวนหน้า: 5

ISBN: 9781479980581; 9781479980581

นอก: 0146-9428

eISSN: 1745-4557

URL: https://www.scopus.com/inward/record.uri?eid=2-s2.0-84961351357&doi=10.1109%2fICDSP.2015.7252033&partnerID=40&md5=be5aa57f99536adf1009d33f0d8f74f8

ภาษา: English-Great Britain (EN-GB)

ดูบนเว็บไซต์ของสำนักพิมพ์

บทคัดย่อ

Video shot boundary detection or shot segmentation is an integral part of semantic video analysis. The objective of this process is to automatically detect the boundary region in video that further segment the video into meaningful shot, scene and so on. Video frame feature representation therefore plays an important role in the process where it directly affects the overall performance of the system. The transition points between meaningful scenes can be emphasised by the extracted features. In this paper, a combination of global and local feature descriptors is implemented to represent the temporal characteristic in video. Motivated by computational efficiency and practical implementation, a video shot boundary detection scheme using adaptive thresholding is proposed. Candidate segment selection and transition pattern analysis are implemented by the dissimilarity score between video frames. The performance evaluation is constructed on a golf video dataset using the precision and recall performance measures. ฉ 2015 IEEE.

คำสำคัญ

adaptive thresholding, golf video analysis, speeded up robust features, Video shot boundary detection