Automatic Generation of Matter-of-Opinion Video Documentaries

Bocconi, Stefano; Nack, Frank; Hardman, Lynda

doi:10.2139/ssrn.3199393

Cited by 5 publications

(7 citation statements)

References 11 publications

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“…The development of specific techniques for the semantic representation of video [14] provided a means of interfacing the video semantic content with the narrative. Most of the recent work on video-based Interactive Storytelling is about the so-called emergent storytelling paradigm, or storyfication [35], that uses temporal and semantic relationships within the video content to attribute meaning to a sequence of events, for example, forming a life narrative from personal videos [8,7,37] or constructing documentaries from user-contributed content [15,35,36].…”

Section: Related Workmentioning

confidence: 99%

Interactive Film Recombination

Guerrini

Adami

Benini

et al. 2017

ACM Trans. Multimedia Comput. Commun. Appl.

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In this article, we discuss an innovative media entertainment application called Interactive Movietelling. As an offspring of Interactive Storytelling applied to movies, we propose to integrate narrative generation through artificial intelligence (AI) planning with video processing and modeling to construct filmic variants starting from the baseline content. The integration is possible thanks to content description using semantic attributes pertaining to intermediate-level concepts shared between video processing and planning levels. The output is a recombination of segments taken from the input movie performed so as to convey an alternative plot. User tests on the prototype proved how promising Interactive Movietelling might be, even if it was designed at a proof of concept level. Possible improvements that are suggested here lead to many challenging research issues. CCS Concepts: • Computing methodologies → Scene understanding;

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Section: Related Workmentioning

confidence: 99%

Interactive Film Recombination

Guerrini

Adami

Benini

et al. 2017

ACM Trans. Multimedia Comput. Commun. Appl.

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“…The Narrative Engine has access to metadata for all available clips, including performers and instruments featuring in each clip, 1 MyVideos is a use case with the FP7 Project TA2: Together Any-where, Together Anytime. See: http://ta2project.eu esthetically pleasing in and out points and cinematographic shot type such as wide angle or closeup.…”

Section: Classifying Community Eventsmentioning

confidence: 99%

“…One representative example is Vox Populi [1], in which rhetorical documentaries are created from a pool of media fragments. More recently, a system capable of creating different story variants from a baseline video was presented and evaluated [14].…”

Section: Community-based Storytellingmentioning

confidence: 99%

Just-in-time personalized video presentations

Jansen

César

Guimarães

et al. 2012

Proceedings of the 2012 ACM Symposium on Document Engineering

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Using high-quality video cameras on mobile devices, it is relatively easy to capture a significant volume of video content for community events such as local concerts or sporting events. A more difficult problem is selecting and sequencing individual media fragments that meet the personal interests of a viewer of such content. In this paper, we consider an infrastructure that supports the just-in-time delivery of personalized content. Based on user profiles and interests, tailored video mash-ups can be created at view-time and then further tailored to user interests via simple end-user interaction. Unlike other mash-up research, our system focuses on client-side compilation based on personal (rather than aggregate) interests. This paper concentrates on a discussion of language and infrastructure issues required to support just-in-time video composition and delivery. Using a high school concert as an example, we provide a set of requirements for dynamic content delivery. We then provide an architecture and infrastructure that meets these requirements. We conclude with a technical and user analysis of the just-in-time personalized video approach.

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“…These tools do not provide semiautomatic authoring, which is an important requirement. It is worth mentioning that Bocconi et al (2008) (2005) proposed the COSMOS-7 system that models the objects along with a set of events in which the objects participate, as well as events along with a set of objects and temporal relationships between the objects. This system/model Documentary media objects represents the events at a higher level only like speak, play, listen and not at the level of actions, gestures and movements.…”

Section: Create (2) This Process Exploits Existing Audiovisual Documementioning

confidence: 99%

Semantic annotation and retrieval of documentary media objects

Kanellopoulos

2012

The Electronic Library

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Access to this document was granted through an Emerald subscription provided by emerald-srm: 412925 [] For AuthorsIf you would like to write for this, or any other Emerald publication, then please use our Emerald for Authors service information about how to choose which publication to write for and submission guidelines are available for all. Please visit www.emeraldinsight.com/authors for more information. About Emerald www.emeraldinsight.comEmerald is a global publisher linking research and practice to the benefit of society. The company manages a portfolio of more than 290 journals and over 2,350 books and book series volumes, as well as providing an extensive range of online products and additional customer resources and services.Emerald is both COUNTER 4 and TRANSFER compliant. The organization is a partner of the Committee on Publication Ethics (COPE) and also works with Portico and the LOCKSS initiative for digital archive preservation. AbstractPurpose -This paper aims to propose a system for the semantic annotation of audio-visual media objects, which are provided in the documentary domain. It presents the system's architecture, a manual annotation tool, an authoring tool and a search engine for the documentary experts. The paper discusses the merits of a proposed approach of evolving semantic network as the basis for the audio-visual content description. Design/methodology/approach -The author demonstrates how documentary media can be semantically annotated, and how this information can be used for the retrieval of the documentary media objects. Furthermore, the paper outlines the underlying XML schema-based content description structures of the proposed system. Findings -Currently, a flexible organization of documentary media content description and the related media data is required. Such an organization requires the adaptable construction in the form of a semantic network. The proposed approach provides semantic structures with the capability to change and grow, allowing an ongoing task-specific process of inspection and interpretation of source material. The approach also provides technical memory structures (i.e. information nodes), which represent the size, duration, and technical format of the physical audio-visual material of any media type, such as audio, video and 3D animation. Originality/value -The proposed approach (architecture) is generic and facilitates the dynamic use of audio-visual material using links, enabling the connection from multi-layered information nodes to data on a temporal, spatial and spatial-temporal level. It enables the semantic connection between information nodes using typed relations, thus structuring the information space on a semantic as well as syntactic level. Since the description of media content holds constant for the associated time interval, the proposed system can handle multiple content descriptions for the same media unit and also handle gaps. The results of this research will be valuable not only for documentary experts but for anyone with a need to ...

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Automatic Generation of Matter-of-Opinion Video Documentaries

Cited by 5 publications

References 11 publications

Interactive Film Recombination

Interactive Film Recombination

Just-in-time personalized video presentations

Semantic annotation and retrieval of documentary media objects

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