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Displaying 1-13 out of 13 total
A new ROI grouping schema for automatic image annotation
Found in: Multimedia and Expo, IEEE International Conference on
By Rami Albatal,Philippe Mulhem,Yves Chiaramella
Issue Date:July 2011
pp. 1-6
Regions Of Interest (ROI) are successfully used in automatic image annotation through Bag of Visual Words (BoVW) models. However, the
 
Content-Based Search in Multilingual Audiovisual Documents Using the International Phonetic Alphabet
Found in: Content-Based Multimedia Indexing, International Workshop on
By Georges Quénot, Tien Ping Tan, Le Viet Bac, Stéphane Ayache, Laurent Besacier, Philippe Mulhem
Issue Date:June 2009
pp. 150-155
We present in this paper an approach based on the use of the International Phonetic Alphabet (IPA) for content-based indexing and retrieval of multilingual audiovisual documents. The approach works even if the languages of the document are unknown. It has ...
 
A signal/semantic framework for image retrieval
Found in: Digital Libraries, Joint Conference on
By Philippe Mulhem, Yves Chiaramella, Mohammed Belkhatir
Issue Date:June 2005
pp. 368-368
This poster presents an approach for integrating perceptual signal features (i.e. color and texture) and semantic information within an integrated architecture for image retrieval. It relies on an expressive knowledge representation formalism handling high...
 
Home Photo Content Modeling for Personalized Event-Based Retrieval
Found in: IEEE Multimedia
By Joo-Hwee Lim, Qi Tian, Philippe Mulhem
Issue Date:October 2003
pp. 28-37
<p>With rapid advances in sensor, storage, processor, and communication technologies, consumers can now store large digital photo collections. Consumers need effective and efficient tools to organize and access photos in a semantically meaningful way...
 
Content-Based Summarization for Personal Image Library
Found in: Digital Libraries, Joint Conference on
By Joo-Hwee Lim, Jun Li, Philippe Mulhem, Qi Tian
Issue Date:May 2003
pp. 393
With the accumulation of consumer?s personal image library, the problem of managing, browsing, querying and presenting photos effectively and efficiently would become critical. We propose a framework for automatic organization of personal image libraries b...
   
Pivot Vector Space Approach for Audio-Video Mixing
Found in: IEEE Multimedia
By Philippe Mulhem, Mohan S. Kankanhalli, Ji Yi, Hadi Hassan
Issue Date:April 2003
pp. 28-40
<p>An audio-mixing artist usually adds the musicalaccompaniment to video. Employing such artists isexpensive and not feasible for a home videopresentation. Our automatic audio?video mixingtechnique is suited for home videos. It uses a pivotvector spa...
 
SmartAlbum — Towards Unification of Approaches for Image Retrieval
Found in: Pattern Recognition, International Conference on
By Tele Tan, Jiayi Chen, Philippe Mulhem
Issue Date:August 2002
pp. 30983
In this paper we present a novel application (called SmartAlbum) for photo indexing and retrieval that unifies two different image indexing approaches. The system uses two modalities to extract information about a digital photograph; i.e. content-based and...
 
Spatial relationships in visual graph modeling for image categorization
Found in: Proceeding of the 33rd international ACM SIGIR conference on Research and development in information retrieval (SIGIR '10)
By Loic Maisonnasse, Philippe Mulhem, Trong-Ton Pham
Issue Date:July 2010
pp. 729-730
In this paper, a language model adapted to graph-based representation of image content is proposed and assessed. The full indexing and retrieval processes are evaluated on two different image corpora. We show that using the spatial relationships with graph...
     
Doxels in context for retrieval: from structure to neighbours
Found in: Proceedings of the 2008 ACM symposium on Applied computing (SAC '08)
By Delphine Verbyst, Philippe Mulhem
Issue Date:March 2008
pp. 28-34
We propose in this paper a new way of considering retrieval of structured documents, by exploiting non-structural relations between structured document elements (doxels). These relations may be defined by human beings (e.g. by the authors of the documents ...
     
Metadata handling: A video perspective
Found in: ACM Transactions on Multimedia Computing, Communications, and Applications (TOMCCAP)
By Chitra L. Madhwacharyula, Marc Davis, Mohan S. Kankanhalli, Philippe Mulhem
Issue Date:November 2006
pp. 358-388
This article addresses the problem of processing the annotations of preexisting video productions to enable reuse and repurposing of metadata. We introduce the concept of automatic content-based editing of preexisting semantic home video metadata. We propo...
     
A signal/semantic framework for image retrieval
Found in: Proceedings of the 5th ACM/IEEE-CS joint conference on Digital libraries (JCDL '05)
By Mohammed Belkhatir, Philippe Mulhem, Yves Chiaramella
Issue Date:June 2005
pp. 368-368
This poster presents an approach for integrating perceptual signal features (i.e. color and texture) and semantic information within an integrated architecture for image retrieval. It relies on an expressive knowledge representation formalism handling high...
     
SmartAlbum: a multi-modal photo annotation system
Found in: Proceedings of the tenth ACM international conference on Multimedia (MULTIMEDIA '02)
By Jiayi Chen, Mohan Kankanhalli, Philippe Mulhem, Tele Tan
Issue Date:December 2002
pp. 87-88
This demonstration presents a novel application (called SmartAlbum) for photo indexing and retrieval that unifies two different image indexing approaches. The system uses two modalities to extract information about a digital photograph; i.e. content-based ...
     
Symbolic photograph content-based retrieval
Found in: Proceedings of the eleventh international conference on Information and knowledge management (CIKM '02)
By Joo Hwee Lim, Philippe Mulhem
Issue Date:November 2002
pp. 94-101
Photograph retrieval systems face the difficulty to deal with the different ways to apprehend the content of images. We consider and demonstrate here the use of multiple index representations of photographs to achieve effective retrieval. The use of multip...
     
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