Abstract
TV streams represent a principal source of multimedia information. The goal of the proposed approach is to enable a better exploitation of this source of video by multimedia services (i.e., TV-On-Demand, catch-up TV), social community, and video-sharing platforms (Vimeo, Youtube, Facebook …). In this work, we present an automatic structuring approach of TV news. The originality of the approach is the use of the contextual and operational characteristics as prior knowledge. This knowledge is modeled as video grammar which governs the structuring of TV stream content. This structuring is carried out on two levels. The first level identifies news programs in TV stream. The second level aims to identify the internal structure of the identified news programs. At this level, we opt to treat the case of TV news programs due to the large audience because of pertinent information within. Comparison experiments to similar works have been carried out on the TRECVID 2003 database. We show significant improvements to TV news structuring exceed 90 %.
Similar content being viewed by others
References
Abduraman AE, Berrani SA, Mérialdo B (2011) TV program structuring techniques: a review. Book chapter in TV content analysis. Tech Appl
Arvis V, Debain C, Berducat M, Benassi A (2004) Generalization of the co-occurence matrix for color images: application to color textures classification. Image Anal Stereol 63–72
Athanasakos KC, Doulamis AD, Karanikolas NN (2007) A signature tree content-based image retrieval system. 10th International Conference on Computer Graphics and Artificial Intelligence 181–191
Colace F, Foggia P, Percannella G (2005) A probabilistic framework for TV-news stories detection and classification. IEEE Int Conf Mult Expo 1350–1353
David C (1991) Practice of the video. Edition LAROUSSE, ISBN: 2035102309
Duan L, Xu M, Tian Q, Xu C, Jin JS (2005) A unified framework for semantic shot classification in sports video. IEEE Trans Multimedia 7(6):1066–1083
Dumont E, Quénot G (2012) Automatic story segmentation for TV news video using multiple modalities. Int J Digital Multimedia Broadcast 2012:1–11
Dunker P, Gruhne M, Sturtz S (2008) Personal television: a cross modal analysis approach. IEEE Int Symp Consumer Electron 1–4
Goyal A, Punitha P, Hopfgartner F, Jose JM (2009) Split and merge based story segmentation in news videos. 31th European Conference on IR Research on Advances in Information Retrieval 766–
Hu W, Xie N, Li L, Zeng X (2011) A survey on visual content-based video indexing and retrieval. IEEE Trans Syst Man Cybern Part C Appl Rev 41(6):797–819
Hua S, Chen G, Wei H, Jiang Q (2012) Similarity measure for image resizing using SIFT feature. EURASIP J Image Video Proc
Hua XS, Chen X, Zhang HJ (2004) Robust video signature based on ordinal measure. Int Conf Inf Proc ICIP04 685–688
Jacobs A, Miene A, Ioannidis GT, Herzog O (2004) Automatic shot boundary detection combining color, edge, and motion features of adjacent frames. TRECVID Workshop Notebook Papers 197–206
Lakshmi D, Damodaram A, Sreenivasa M, Lal J (2008) Content based image retrieval using signature based similarity search. Indian J Sci Technol 1(5):80–92
Lienhart R, Maydt J (2002) An extended set of haar-like features for rapid object detection. Int IEEE Conf Proc Image 900–903
LOWE D (2004) Distinctive image features from scale-invariant keypoints. Int J Comput Vis 60(2):91–110
Marquez GRC, Escalante HJ, Sucar LE (2011) Simplified quadtree image segmentation for image annotation. Automatic Image Annotation and Retrieval Workshop, CEUR-Workshop, 719:24–34
Maurizio M, Alberto M (2009) Parallel neural networks for multimodal video genre classification. Multimedia Tools Appl 41(1):125–159
McIvor A (2000) Background subtraction techniques. Image and Vision Computing, New Zealand
Misra H, Hopfgartner F, Goyal A, Punitha P, Jose J (2010) TV news story based segmentation one semantic coherence and content similarity. 16th Int Conf Multimedia Model 347–357
Naturel X, Gros P (2008) Detecting repeats for video structuring. Multimedia Tools Appl 38(2):233–252
Nock R, Nielsen F (2004) Statistical region merging. IEEE Trans. Pattern Anal Mach Intell1 452–1458
O’Hare N, Smeaton AF, Czirjek C, O’Connor N (2004) Murphy. A generic news story segmentation system and its evaluation. IEEE Int Conf Acoust Speech Signal Process 1028–1031
Poli JP (2008) An automatic television stream structuring system for television archives holders. Multimedia Syst 14(5):255–275
Poulisse GJ, Moens MF, Dekens T, Deschacht K (2010) News story segmentation in multiple modalities. Multimedia Tools Appl 48(1):3–22
Ravani R, Mirali RM, Baniasadi M (2010) Parallel CBIR system based on color coherence vector. Int Conf Syst Signals Image 518–521
Smeaton AF, Kraaij W, Over P (2003) TRECVID 2003 - an overview. TRECVID 2003 - Text REtrieval Conference TRECVID Workshop
Turk M, Pentland A (1991) Eigenfaces for recognition. News Cogn Neurosci 71–86
Viola P, Jones M (2001) Rapid object detection using a boosted cascade of simple features. Conf Comp Vis Pattern Recognit 511–518
Wang J, Duan L, Lu H, Jin S (2006) A semantic image category for structuring TV broadcast video streams. IEEE Conf Pac Rim Multimedia 279–286
Wu X, Ide I, Satoh S (2010) PageRank with text similarity and video near-duplicate constraints for news story re-ranking. 16th International Conference on MultiMedia Modeling, Lecture Notes in Computer Science, Springer-Verlag 5916:533–544
Xie L, Yang YL, Liu ZQ (2011) On the effectiveness of subwords for lexical cohesion based story segmentation of Chinese broadcast news. Int J Inf Sci 181(13):2873–2891
Zlitni T, Mahdi W, Ben-Abdallah H (2009) A new approach for TV programs identification based on video grammar. 7th Int Conf Adv Mob Comput Multimedia (MoMM2009) 316–320
Zlitni T, Mahdi W, Ben-Abdallah H (2010) Towards a modeling of video grammar based on a priori knowledge for the optimization of the audiovisual documents structuring. 2nd Int Conf Comput Technol Dev 517–521
Author information
Authors and Affiliations
Corresponding author
Rights and permissions
About this article
Cite this article
Zlitni, T., Bouaziz, B. & Mahdi, W. Automatic topics segmentation for TV news video using prior knowledge. Multimed Tools Appl 75, 5645–5672 (2016). https://doi.org/10.1007/s11042-015-2531-7
Received:
Revised:
Accepted:
Published:
Issue Date:
DOI: https://doi.org/10.1007/s11042-015-2531-7