Multimedia search with pseudo-relevance feedback

We present an algorithm for video retrieval that fuses the decisions of multiple retrieval agents in both text and image modalities. While the normalization and combination of evidence is novel, this paper emphasizes the successful use of negative pseudo-relevance feedback to improve image retrieval performance. Although we have not solved all problems in video information retrieval, the results are encouraging, indicating that pseudo-relevance feedback shows great promise for multimedia retrieval with very varied and errorful data. 1 Video Retrieval from Mixed Text and Image Queries In this paper, we present an algorithm for the task of video retrieval. A query, consisting of a text description plus images or video is posed against a video collection, and relevant shots are to be retrieved. Our system accomplishes this by fusing the retrieval results of multiple retrieval agents. The overall system can be decomposed into several agents, including a text-oriented retrieval agent, which is responsible for finding the text in the speech transcripts [4] and Video OCR [3],

Human-computer interaction view on information retrieval evaluation

The field of information retrieval (IR) has experienced tremendous growth over the years. Researchers have however identified Human-Computer Interaction (HCI) aspects as important concerns in IR research. Incorporation of HCI techniques in IR can ensure that IR systems intended for human users are developed and evaluated in a way that is consistent with and reflects the needs of those users. The traditional methods of evaluating IR systems have for a long period been largely concerned with system-oriented measurements such as precision and recall, but not on the usability aspects of the IR system. There also are no well-established evaluation approaches for studying users and their interactions with IR systems. This chapter describes the role and place of HCI toward supporting and appropriating the evaluation of IR systems. © 2013 Springer-Verlag

CLEF 2004: Ad Hoc Track Overview and Results Analysis

We describe the objectives and organization of the CLEF 2004 ad hoc track and discuss the main characteristics of the experiments. The results are analyzed and commented and their statistical significance is investigated. The paper concludes with some observations on the impact of the CLEF campaign on the state-of-the-art in cross-language information retrieval