Content-Based Image Retrieval at the End of the Early Years
IEEE Transactions on Pattern Analysis and Machine Intelligence
Application of computational media aesthetics methodology to extracting color semantics in film
Proceedings of the tenth ACM international conference on Multimedia
Media semantics: who needs it and why?
Proceedings of the tenth ACM international conference on Multimedia
Where Does Computational Media Aesthetics Fit?
IEEE MultiMedia
Pivot Vector Space Approach for Audio-Video Mixing
IEEE MultiMedia
IEEE MultiMedia
Popular music retrieval by detecting mood
Proceedings of the 26th annual international ACM SIGIR conference on Research and development in informaion retrieval
Extracting information about emotions in films
MULTIMEDIA '03 Proceedings of the eleventh ACM international conference on Multimedia
MULTIMEDIA '03 Proceedings of the eleventh ACM international conference on Multimedia
Metadata creation system for mobile images
Proceedings of the 2nd international conference on Mobile systems, applications, and services
Towards a flash search engine based on expressive semantics
Proceedings of the 13th international World Wide Web conference on Alternate track papers & posters
From context to content: leveraging context to infer media metadata
Proceedings of the 12th annual ACM international conference on Multimedia
Proceedings of the 12th annual ACM international conference on Multimedia
A Probabilistic Framework for Extracting Narrative Act Boundaries and Semantics in Motion Pictures
Multimedia Tools and Applications
Situated event bootstrapping and capture guidance for automated home movie authoring
Proceedings of the 13th annual ACM international conference on Multimedia
Modeling Intent for Home Video Repurposing
IEEE MultiMedia
Semantic-event based analysis and segmentation of wedding ceremony videos
Proceedings of the international workshop on Workshop on multimedia information retrieval
Semantic representation of multimedia content: Knowledge representation and semantic indexing
Multimedia Tools and Applications
A User Experience Model for Home Video Summarization
MMM '09 Proceedings of the 15th International Multimedia Modeling Conference on Advances in Multimedia Modeling
Multimedia content personalization based on peer-level annotation
Proceedings of the seventh european conference on European interactive television conference
Personalized music emotion recognition
Proceedings of the 32nd international ACM SIGIR conference on Research and development in information retrieval
RoleNet: movie analysis from the perspective of social networks
IEEE Transactions on Multimedia - Special issue on integration of context and content
Aesthetics-based automatic home video skimming system
MMM'08 Proceedings of the 14th international conference on Advances in multimedia modeling
Automated aesthetic enhancement of videos
Proceedings of the international conference on Multimedia
Proceedings of the international conference on Multimedia
Affective classification in video based on semi-supervised learning
ISNN'11 Proceedings of the 8th international conference on Advances in neural networks - Volume Part III
A task-based model of perceived website complexity
MIS Quarterly
What can expressive semantics tell: retrieval model for a flash-movie search engine
CIVR'05 Proceedings of the 4th international conference on Image and Video Retrieval
An approach for conceptual modeling and extracting expressive semantics from dance videos
CIT'04 Proceedings of the 7th international conference on Intelligent Information Technology
Semantic Mastering: content adaptation in the creative drama production workflow
Multimedia Tools and Applications
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Content management's future is bright. Innovative media management, annotation, delivery, and navigation services will enrich online shopping, help-desk services, and anytime-anywhere training over wireless devices. Semantics-based annotations will break the traditional linear manner of accessing and browsing media and will support vignette-oriented access of audio and video. This can lead to new offerings of customized media management utilities for various market segments such as online education and training, advertising, news networks, and broadcasting studios. However, the semantic gap between the rich meaning that users want when they query and browse media and the shallowness of the content descriptions that we can actually compute is weakening today's automatic content-annotation systems. This is a crucial obstacle that we must overcome to achieve that bright future. A serious need exists to develop algorithms and technologies that can annotate content with deep semantics and establish semantic connections between media's form and function, for the first time letting users access indexed media and navigate content in unforeseeable and surprising ways. To address these underlying problems,, we advocate an approach that markedly departs from existing methods' based on detecting and annotating low-level audio-visual features. To go beyond representing what a video or movie directly shows, we postulate that we must analyze and interpret the content's visual, aural, and emotional impact. Our contention is that we must understand compositional and aesthetic media principles to guide content analysis