Image featuring for retrieval of multimedia documents

The utilization of massive multimedia documents collections, such as multimedia documents in the global Internet, needs search engines which can rank using both text and image evidence. Massive size and (dynamic) nature of collection can make manual indexing prohibitively expensive in such situations. Traditional search engines utilize only text components of multimedia documents. But there are information needs, which require the utilization of image evidence. In this paper, we investigate image-feature for large and heterogeneous collections. Both the nature and complexities of information needs are key elements for an effective retrieval. Retrieval needs that depend on perceptual similarities (as found in art galleries, building architecture) require the utilization of visual cues. In such situations, the retrieval of multimedia document based on image ranking can provide higher effectiveness. Experimental results show that effectiveness of ranking based on image feature can be higher where perceptual similarities are key elements for retrieval than the retrieval effectiveness of algorithms based on text ranking algorithms

Application of grounded theory to exploring multimedia design practices

This paper describes the application of Grounded Theory to an exploration of multimedia design practices. It discusses the opinions of multimedia developers, as elicited from interviews, on the selected design tasks and the processes employed in their completion. Our findings, which emerge from the analysis of the collected data, indicate that the currently available multimedia models do not address some of the important concerns of practitioners. We believe that closing the methodological gaps in these models would provide bettersupport for the multimedia development process.