Multi-criteria video segmentation for TV news

Chen, L.; Faudemay, Pascal

doi:10.1109/mmsp.1997.602655

Cited by 15 publications

(9 citation statements)

References 12 publications

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“…Not all of these blocks are, however, suitable to be considered as reports on topic T i . We find the block l b "valid", that is, suitable as a potential report on topic T i if it complies with the following requirement: (6) has to be larger than the likelihood of the block h b .…”

Section: Revealing the Report Structurementioning

confidence: 99%

“…Numerous approaches to automation of various steps in news-program analysis were proposed in recent literature (e.g. [1][2][3][4][5][6][7][8][9][10][11][12][13]]). In this paper we present the DANCERS -Delft AdvaNCed nEws Retrieval System -we developed to obtain a complete and reliable topic-based organization of a news archive with minimized user intervention.…”

Section: Introductionmentioning

confidence: 99%

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<title>DANCERS: Delft advanced news retrieval system</title>

et al. 2001

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In this paper we present a system for automated analysis, classification and indexing of broadcast news programs. The system first analyzes the visual and the speech stream of an input news program in order to obtain an initial partitioning of the program into the so-called report segments. The analysis of the visual stream provides the boundaries of the report segments lying at the beginning and the end of each anchorperson shot. This analysis step is performed by applying an existing technique for anchorperson shot detection. The analysis of the speech stream gives the boundaries of the report segments lying in the middle of each (sufficiently long) silent interval. Then, the transcribed speech of each of the report segments is matched with the content of a large pre-specified textual topic database. This database covers a large number of topics and can be updated by the user at any time. For each topic a vast number of keywords is given, each of which is also assigned a weight that indicates the importance of a keyword for a certain topic. The result of the matching procedure is a list of probable topics per report segment, where for each topic on the list a likelihood is computed based on the number of relevant keywords found in the segment and on the weights of those keywords. The list of topics per segment is then shortened by separating the most probable from least probable topics based on their likelihood. Finally, the likelihood values of the most probable topics are used in the last system module to merge related neighboring segments into reports. The most probable topics serving as the base for the segment-merging procedure are at the same time the retrieval indexes for the reports and are used for classifying together all reports in the database that cover one and the same topic.

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Section: Revealing the Report Structurementioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

<title>DANCERS: Delft advanced news retrieval system</title>

et al. 2001

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“…For example, Zhang et al [31] and Chen et al [7] presented methods to analyze TV news programs. Zhang et al [31] defined image models of shots containing an anchorperson, and used these to split the news program into independent subjects.…”

Section: Related Workmentioning

confidence: 99%

“…Zhang et al [31] defined image models of shots containing an anchorperson, and used these to split the news program into independent subjects. Chen and Faudemay [7] also detected anchorperson shots, but did so using audio information.…”

Section: Related Workmentioning

confidence: 99%

Summarization of videotaped presentations: automatic analysis of motion and gesture

Black

Minneman

et al. 1998

IEEE Trans. Circuits Syst. Video Technol.

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Abstract-This paper presents an automatic system for analyzing and annotating video sequences of technical talks. Our method uses a robust motion estimation technique to detect key frames and segment the video sequence into subsequences containing a single overhead slide. The subsequences are stabilized to remove motion that occurs when the speaker adjusts their slides. Any changes remaining between frames in the stabilized sequences may be due to speaker gestures such as pointing or writing, and we use active contours to automatically track these potential gestures. Given the constrained domain, we define a simple set of actions that can be recognized based on the active contour shape and motion. The recognized actions provide an annotation of the sequence that can be used to access a condensed version of the talk from a Web page.

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“…Although numerous approaches to automation of broadcast news indexing were proposed in recent literature (e.g. [1][2][3][4][5][6][7]]), there remained a considerable room for improvement, mainly regarding the robustness and level of automation. Especially these two issues we had in mind when developing the DANCERS (Delft AdvaNCed nEws Retrieval System).…”

Section: Introductionmentioning

confidence: 99%

Broadcast news indexing using dancers

Hanjalic

Kakes

Lagendijk

et al. 2001

IEEE International Conference on Multimedia and Expo, 2001. ICME 2001.

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We present in this paper the DANCERS: a system for automated indexing of broadcast news programs. The system output -a topic-based report organization structure -is obtained in three major steps. In the first step, the visual and the speech stream of a news program are analyzed in order to partition the program into report segments. In the second step, the transcribed speech of each of the report segments is matched with the content of a large pre-specified textual topic database. This database covers a large number of topics and can be updated any time. The result of the matching procedure is a list of probable topics per report segment that are used in the last step to merge related neighboring segments into reports. Each report is indexed by the topic that served as merging criterion for report segments.

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Multi-criteria video segmentation for TV news

Cited by 15 publications

References 12 publications

<title>DANCERS: Delft advanced news retrieval system</title>

<title>DANCERS: Delft advanced news retrieval system</title>

Summarization of videotaped presentations: automatic analysis of motion and gesture

Broadcast news indexing using dancers

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