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Currently, much research aims at coping with the shortcomings in multimedia consumption that may exist in a user's current context, e.g., due to the absence of appropriate devices at many locations, a lack of capabilities of mobile devices, restricted access to content, or nonpersonalized user interfaces. Recently, solutions to specific problems have been emerging, e.g., wireless access to multimedia repositories over standardized interfaces; however, due to usability restrictions the user has to spend much effort to or is even incapable of fulfilling his/her demands. The vision of user-centric multimedia places the user in the center of multimedia services to support his/her multimedia consumption intelligently, dealing with the aforementioned issues while minimizing required work. Essential features of such a vision are comprehensive context awareness, personalized user interfaces, and multimedia content adaptation. These aspects are addressed in this paper as major challenges toward a user-centric multimedia framework.

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This paper introduces multimedia indexing and retrieval techniques to enable the extraction of botanical characteristics for semi-automatic plant recognition. The identification of plants requires recognition and determination of plant species by using specific features such as bloom color, inflorescences, shape of blooms, number of petals and shape of leaves. Our indexing and retrieval techniques will be integrated into an existing medicinal plant database, MedPhyt

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