Why did the prime minister resign?: generation of event explanations from large news repositories

One of the common parts of news is to provide the background for a current event, such as the resignation of a Prime Minister. This paper addresses a framework that facilitates semi-automated authoring of explanatory audio-visual news topics in a retrospective style for the domain of politics based on already edited new stories available in the repository of the news corporation. The aim is to facilitate a journalist with an audio-visual body based on which he/she can finalize the explanatory piece. The proposed framework enhances current state of the art video summarization by allowing the combination of different news stories into one coherent explanation about a topic of the current news. The framework introduces techniques that exploit demoscopic data in form of polls for the development of the general story outline; the automatic retrieval of relevant material by using a combination of event templates and automatic news summarization over topic threads; and the generation of the final video by applying a set of trimming rules. Example generations are presented and discussed and an outline of future work is presented.

[1]  H. Murase,et al.  Exploiting the Chronological Semantic Structure in a Large-scale Broadcast News Video Archive for its Efficient Exploration , 2010 .

[2]  Mohan S. Kankanhalli,et al.  Modeling, detecting, and processing events in multimedia , 2010, ACM Multimedia.

[3]  Dick C. A. Bulterman,et al.  Structured multimedia authoring , 1993, MULTIMEDIA '93.

[4]  John A. Bateman,et al.  Towards Constructive Text, Diagram, and Layout Generation for Information Presentation , 2001, Computational Linguistics.

[5]  Ramesh C. Jain,et al.  Event-centric multimedia data management for reconnaissance mission analysis and reporting , 2006, MM '06.

[6]  Tobun Dorbin Ng,et al.  Collages as dynamic summaries for news video , 2002, MULTIMEDIA '02.

[7]  Susanne Boll,et al.  Context-driven smart authoring of multimedia content with xSMART , 2005, MULTIMEDIA '05.

[8]  Marcel Worring,et al.  Learning rich semantics from news video archives by style analysis , 2006, TOMCCAP.

[9]  Jintao Li,et al.  The use of topic evolution to help users browse and find answers in news video corpus , 2007, ACM Multimedia.

[10]  Lynda Hardman,et al.  Canonical processes of semantically annotated media production , 2008, Multimedia Systems.

[11]  Shin'ichi Satoh,et al.  Mining Large-Scale Broadcast Video Archives Towards Inter-video Structuring , 2004, PCM.

[12]  Takashi Inui,et al.  Extracting Semantic Orientations of Words using Spin Model , 2005, ACL.

[13]  Rodrigo Laiola Guimarães Automatic and manual processes in end-user multimedia authoring tools: where is the balance? , 2010, ACM Multimedia.

[14]  Jonathan G. Fiscus,et al.  Topic detection and tracking evaluation overview , 2002 .

[15]  Frank M. Shipman,et al.  Generation of interactive multi-level video summaries , 2003, ACM Multimedia.

[16]  Hari Sundaram,et al.  Networked multimedia event exploration , 2004, MULTIMEDIA '04.

[17]  Alan F. Smeaton,et al.  Rushes video summarization using a collaborative approach , 2008, TVS '08.

[18]  Frank Nack,et al.  Designing annotation before it's needed , 2001, MULTIMEDIA '01.

[19]  Steffen Staab,et al.  F--a model of events based on the foundational ontology dolce+DnS ultralight , 2009, K-CAP '09.

[20]  Rong Yan,et al.  How many high-level concepts will fill the semantic gap in news video retrieval? , 2007, CIVR '07.