VAGUE: a user interface to relational databases that permits vague queries
ACM Transactions on Information Systems (TOIS)
Query by humming: musical information retrieval in an audio database
Proceedings of the third ACM international conference on Multimedia
Query by Tapping: A New Paradigm for Content-Based Music Retrieval from Acoustic Input
PCM '01 Proceedings of the Second IEEE Pacific Rim Conference on Multimedia: Advances in Multimedia Information Processing
A human-oriented image retrieval system using interactive genetic algorithm
IEEE Transactions on Systems, Man, and Cybernetics, Part A: Systems and Humans
Generation of variations on theme music based on impressions of story scenes
Proceedings of the 2006 international conference on Game research and development
International Journal of Computer Games Technology - Joint International Conference on Cyber Games and Interactive Entertainment 2006
P2P file sharing networks allowing participants to freely assign structured meta-data to files
Proceedings of the 2nd international conference on Scalable information systems
Linking KANSAI and Image Features by Multi-layer Neural Networks
KES '07 Knowledge-Based Intelligent Information and Engineering Systems and the XVII Italian Workshop on Neural Networks on Proceedings of the 11th International Conference
| Hi-index | 0.00 |
We propose a media converter framework which takes images, music, and other media as input and outputs different media while preserving the same impression for humans. The media converter is realized by combining multiple media database (DB) retrieval systems that use a common psychological impression space. Each of the media DB retrieval systems consists of a physical media feature extraction part, a physical feature space for the extracted features, an impression space where the psychological impressions of media are expressed as their coordinates, a neural network (NN), and a genetic algorithm (GA). The NN maps the coordinates of the media in the physical feature space to those in the impression space, and the GA search the coordinates of media in the physical feature space using the target coordinate in the impression space and the NN mapping. A user specifies a coordinate in the impression space that corresponds to his or her target impression. The media DB retrieval system extracts features of the images, music, or other media on the Internet or a commercial packaged media DB and stores them inside as physical feature space coordinates. Media whose impression is similar to the user-specified target impression are searched by a NN and GA. The media converter is realized by combining multiple media DB retrieval systems. A medium, medium A, is converted as follows: (1) it is mapped from a physical feature space A to an impression space by NN$_A$ and (2) medium B is searched for in a physical feature space B from the impression space using GA$_B$. Prototypes of an image DB retrieval system and a music DB retrieval system are made and evaluated for their mapping and searching performance. Finally, we make a prototype of a media converter by combining the media DB retrieval systems and show the potential of its realization.