A. Hauptmann and M. Witbrock, "Story segmentation and detection of commercials in broadcast news video," in Proceedings of Advances in Digital Libraries Conference, April 1998. Home/Search Document Details and Download
Summary Related Articles Check |
This paper is cited in the following contexts:
First 50 documents
Audio and Video Processing for Automatic TV.. - Marlow, Sadlier.. (2001) (3 citations) (Correct)
....(TV3 and Channel 4 in Fschlr) do not use black, silent frames to flag ad breaks. Therefore some additional characteristics of advertisements need to be utilised. In order to maximise the visual impact of TV advertisements, producers frequently use a faster rate of shot cuts than normal TV content [3]. The use of shot cut rate for locating ad breaks is detailed in Section 4 and results are given in Section 5. 2. AD BREAK DETECTION USING TRANSMITTED FLAGS 2.1 MPEG Bitstream Processing The Fschlr system captures television broadcasts and encodes the programmes according to the MPEG 1 digital ....
....of shot cuts is often increased to maximise the visual impact of ads. This observation has been also noted by researchers on the Informedia Digital Library project who reported that the rate of shot cuts for an advertisement rises above 1. 7 times the mean rate of shot cuts for the whole program [3]. The average rate of shot cuts over three entire MPEG video files containing ad breaks was calculated and the results are tabulated in Table 3. Name of MPEG file Shot Length Average Rate of Shot cuts(Hz) Good Morning Vietnam 90.09 frames 0.27777 Free Willy 67.08 frames 0.37268 Thelma and Louise ....
A.G. Hauptmann and M.J. Witbrock. Story Segmentation and Detection of Commercials in Broadcast News Video. Proceedings of Advances in Digital Libraries Conference, Santa Barbara, CA., April 22-24, 1998, 168-179.
Video Retrieval by Feature Learning In Key Frames - Pickering, Rüger, Sinclair (2002) (1 citation) (Correct)
....such as flashes, which cause a sudden change on a single frame where no shot change is actually taking place. In many cases shot boundaries are not the most logical divisions for example in news broadcasts it is per haps more useful to segment on story boundaries. Hauptmann and Witbrock [7] have suggested the integration of information from subtitles, speech recognition transcripts and the video stream itself to determine story boundaries. However, since our aim is to obtain enough salient key frames for effective retrieval, it is necessary for us to segment the video into its most ....
A.G. Hauptmann and M.J. Witbrock. Story segmentation and detection of commercials in broadcast news video. In ASL-98 Advances in Digital Libraries, April 1998.
Video Summarisation and Retrieval - 9 month report - Pickering (2001) (Correct)
....division. For example, in the case of a film, it may be more desirable to divide the recording into scenes, where a scene is a series of consecutive shots at a single location. For news broadcasts, it is perhaps more logical to divide the programme into sepa rate stories. Hauptmann and Witbrock [5] have suggested the integration of information from subtitles, speech recognition transcripts and the video stream itself to determine story boundaries. An algorithm based on that proposed by Pye et al. [6] at AT T Labo ratories has been implemented. The algorithm makes use of the soundtrack that ....
Hauptmann AG, Witbrock MJ. Story Segmentation and Detection of Commercials in Broadcast News Video. ADL-98 Advances in Digital Libraries, Santa Barbara CA, April 22-24 1998.
Video Summarisation and Retrieval - MPhil to PhD Transfer Report - Pickering (2002) (Correct)
....are universal because all video data can be reduced to the basic pixel form. 2.1.2 Scene boundary detection Efforts in scene boundary detection usually take the approach of attempting to cluster shots which have already been determined by a shot boundary detection algorithm. Hauptmann et al. [9] suggested integration of various sources of informa tion to determine if a story boundary had occurred in news video. They looked at various image features to see if a commercial break had occurred, they used information from the audio track (longer silences indicated significant changes) and ....
A. G. Hauptmann and M. J. Witbrock. Story segmentation and detec- tion of commercials in broadcast news video. In Advances in Digital
Multimodal Video Indexing: A Review of the State-of-the-art - Snoek, Worring (2001) (10 citations) (Correct)
....well suited for indexing a video document into a specific genre. Most obvious element of this editorial style is the average shot length. Generally, the longer the shots, the slower the rhythm of the video document. The rate of shot changes together with the presence of black frames is used in [34] to detect commercials within news broadcast. The rationale behind detection of black frames is that they are often broadcasted for a fraction of a second before, after, and between commercials. However, black frames can also occur for other reasons. Therefore, the authors use the observation that ....
.... Volleyball [23] Sport Music Documentary Commercial Cartoon Soap Sitcom Feature film Talk show News Basketball Semiotic Tennis Car racing Guest Host Anchor Report Weather Interview Wildlife Hunts Violence Car chase Highlights Walking Gathering Graphical Dramatic events Sport events [20, 23, 34, 35, 40, 45, 84] [84] 23, 84] 42, 84] 20, 23, 35, 84] 20] 20] 35, 72] 21, 35] 16] 73, 96] 53, 73, 96] 3, 66, 73, 96] 41] Dialogue Story Play Break [7, 21, 28, 31, 36, 77, 98] 7, 21, 31, 36] 21] 29] 50] 50] 36] 36] 36] 83] 59] 5, 11, 27, 48, 71, 75 81, 100, 102] 94] ....
A.G. Hauptmann and M.J. Witbrock. Story segmentation and detection of commercials in broadcast news video. In ADL-98 Advances in Digital Libraries, pages 168--179, Santa Barbara, USA, 1998.
Multimodal Video Indexing: A Review of the State-of-the-art - Snoek, Worring (2003) (10 citations) (Correct)
....well suited for indexing a video document into a speci c genre. Most obvious element of this editorial style is the average shot length. Generally, the longer the shots, the slower the rhythm of the video document. The rate of shot changes together with the presence of black frames is used in [34] to detect commercials within news broadcast. The rationale behind detection of black frames is that they are often broadcasted for a fraction of a second before, after, and between commercials. However, black frames can also occur for other reasons. Therefore, the authors use the observation that ....
.... 22 Volleyball [23] Sport Music Documentary Commercial Cartoon Soap Sitcom Feature film Talk show News Basketball Semiotic Tennis Car racing Guest Host Anchor Report Weather Interview Wildlife Hunts Violence Car chase Highlights Walking Gathering Graphical Dramatic events Sport events [20, 23, 34, 35, 40, 45, 84] [84] 23, 84] 42, 84] 20, 23, 35, 84] 20] 20] 35, 72] 21, 35] 16] 73, 96] 53, 73, 96] 3, 66, 73, 96] 41] Dialogue Story Play Break [7, 21, 28, 31, 36, 77, 98] 7, 21, 31, 36] 21] 29] 50] 50] 36] 36] 36] 83] 59] 5, 11, 27, 48, 71, 75 81, 100, 102] 94] ....
A.G. Hauptmann and M.J. Witbrock. Story segmentation and detection of commercials in broadcast news video. In ADL-98 Advances in Digital Libraries, pages 168-179, Santa Barbara, USA, 1998.
Multi-Document Summarization and Visualization in the Informedia.. - Wactlar (2001) (1 citation) (Correct)
.... text clustering and topic classification [Yang94a,98a, Lafferty98, Hauptmann98b] and information retrieval from spoken documents [Hauptmann97b,97c,98c] Audio processing: speech recognition [Witbrock98a,98b] segmentation and alignment of spoken dialogue to existing transcripts [Hauptmann98a], and silence detection for better skim abstractions [Christel98] Image processing: face detection [Rowley95] and matching based on regions, textures, and colors [Gong98] Video processing: key frame selection, skims [Smith96,97] Video OCR [Sato98] and Video Trails [Kobla97] ....
Hauptmann, A.G., and Witbrock, M.J., Story Segmentation and Detection of Commercials in Broadcast News Video, ADL-98 Advances in Digital Libraries, Santa Barbara, CA, April 22-24, 1998.
Classification of Summarized Videos using Hidden Markov Models .. - Lu, Drew, Au (2001) (1 citation) (Correct)
....by their summaries. INTRODUCTION Video content classification is a necessary tool for efficient access, understanding and retrieval of videos. Different methods have been proposed in the literature for video program classification into predefined categories such as a commercial detection system (Hauptman and Witbrock, 1998). One successful study carrying out video classification was performed using a domain method relying on nearest neighbor clustering (Wei et al. 2000) The positive aspect of this classification method is its simplicity. Each decision made in the process corresponds to a certain aspect of human ....
Hauptman, A. G., and Witbrock, M. J., 1998, "Story segmentation and detection of commercials in broadcast news video," Proceedings, Advances in Digital Libraries Conference, Santa Barbara, CA.
Classification of Summarized Videos using Hidden Markov Models.. - Lu, Drew (2001) (1 citation) (Correct)
....1. INTRODUCTION Video content summarization and classification is a necessary tool for efficient access, understanding and retrieval of videos. Different methods have been proposed in the literature for video program classification into predefined categories such as a commercial detection system [1] and a rule based basketball video indexing system [2] However, like most other research work on video classification, advantage was not taken of temporal features in video, a very powerful cue in understanding video content. Therefore we explore the use of hidden Markov models (HMM) for video ....
A.G. Hauptmannn and M.J. Witbrock. Story segmentation and detection of commercials in broadcast news video. Proceedings of Advances in Digital Libraries Conference, Santa Barbara, CA., April 22-24, 1998.
Visual Content Based Segmentation Of Talk Game Shows - Javed, Khan, Rasheed, Shah (2002) (Correct)
....All this is done using only video information and relying mainly on the information contained in shot transitions. No specific training is done for a talk show, and therefore, the scheme is generalized to all the shows that are based on a host interacting with guests format. In related work, in [5] the authors present a heuristic approach to segment commercials and individual news stories. They rely heavily on the fact that commercials have more rapidly changing shots than programs and are separated by blank frames. The overall error reported is high. Our approach to separate commercials ....
....shots back in time is based on the number of shots, and not on the total time elapsed, commercial segments will have less time memory than talk shows. We contend here that simply relying on the hypothesis that commercials have more rapidly changing shots than programs for segmenting commercials [5] is not enough. Even good stories might occasionally have a high rate of change of shots, due to either video summaries shown within the program or just multiple people trying to speak simultaneously within the talk show. Exploiting scene structure, however, is more robust and takes care of these ....
Haupmann, A. G. and Witbrock, M. J., "Story Segmentation and Detection of commercials in Broadcast News Video", in Proceedings of the Advances in Digital Libraries Conference, 1998
A Framework for Segmentation of Talk & Game Shows - Javed, al. (2001) (3 citations) (Correct)
....information and relying mainly on the information contained in shot transitions. No specific ) 1 ( i D i D i S training is done for a talk show, and therefore, the scheme is generalized to all the shows that are based on a host interacting with guests format. In related work, in [5] the authors present a heuristic approach to segment commercials and individual news stories. They rely heavily on the fact that commercials have more rapidly changing shots than programs and are separated by blank frames. The overall error reported is high. Our approach to separate commercials ....
....shots back in time is based on the number of shots, and not on the total time elapsed, commercial segments will have less time memory than talk shows. We contend here that simply relying on the hypothesis that commercials have more rapidly changing shots than programs for segmenting commercials [5] is not enough. Even good stories might occasionally have a high rate of change of shots, due to either video summaries shown within the program or just multiple people trying to speak simultaneously within the talk show. Exploiting scene structure, however, is more robust and takes care of these ....
Haupmann, A. G. and Witbrock, M. J., Story Segmentation and Detection of commercials in Broadcast News Video , in Proceedings of the Advances in Digital Libraries Conference, 1998
Audio Indexing and Retrieval of Complete Broadcast News.. - Johnson, Jourlin.. (2000) (1 citation) (Correct)
....automatically, for example with story segmentation, or detection of commercials. This generally involves generating a transcription and performing the segmentation using text based methods (e.g. van Mulbregt et al. 1999) but it is also possible to use additional audio or video cues (e.g. (Hauptmann and Witbrock, 1998)) This paper describes experiments on a system which uses both ideas, exploiting properties of the audio to impose some structure on complete broadcasts, whilst using windowing techniques to find relevant passages during retrieval. Section 2 describes the framework for the experiments reported ....
Hauptmann, A. and Witbrock, M. (1998). Story Segmentation and Detection of Commercials in Broadcast News Video. In Proc. Advances in Digital Libraries (ADL '98), pages 168--179, Santa Barbara, CA.
Digital Video Library Network: System and Approach - Kei (Correct)
....such as clips of video represented by key frames which is not the users usually wanted. Instead, we can carried out semantic segmentation using multimedia cues which return requested information that is long enough to be informative and as short as possible to avoid irrelevant information [2] [3]. Some work on this issue had been carried out, by using a single medium (visual or text) or integrated the cues from different media. Some existing approaches make use of fixed textual phrases or exploit the known format of closed captions. Phrases like still to come on the news and other known ....
A. Hauptmann, M. Witbrock. Story segmentation and detection of commercials in broadcast news video. Proceedings of Advances in Digital Libraries Conference, Santa Barbara, April 1998.
Video Classification Based On HMM Using Text And Faces - Dimitrova, Agnihotri, Wei (2000) (6 citations) (Correct)
....as sporting event then filters to find meaningful events such as home run can be applied. Different methods are proposed in the literature for video program classification into predefined categories or detect specific categories of programs like the commercial detection system presented in [5] and [8] We explored the use of face and text tracking for video classification. This stems from the fact that most TV programs focus on human activities and human faces play a very important role in the same. In most occasions video content can be satisfactorily characterized by capturing face ....
A.G. Hauptmann and M.J. Witbrock. Story Segmentation and Detection of Commercials in Broadcast News Video. Proceedings of Advances in Digital Libraries Conference, Santa Barbara, CA., April 22-24, 1998.
A Framework for Segmentation of Interview Videos - Javed, Khan, Rasheed, Shah (Correct)
....done using only video information and relying mainly on the information contained in shot transitions. No specific training is done for this ) 1 ( i D i D i S particular show, and therefore, the scheme should be generalizable to other similar shows and programs. In related work, in [5] the authors present a heuristic approach to segment commercials and individual news stories. They rely heavily on the fact that commercials have more rapidly changing shots than programs and are separated by blank frames. The overall error reported is high. Our approach to separate commercials ....
....shots back in time is based on the number of shots, and not on the total time elapsed, commercial segments will have less time memory than interviews. We contend here that simply relying on the hypothesis that commercials have more rapidly changing shots than programs for segmenting commercials [5] is not enough. Even good stories might occasionally have a high rate of change of shots, due to either video summaries shown within the program or just multiple people trying to speak simultaneously within the interview. Exploiting scene structure, however, is more robust and takes care of these ....
Haupmann, A. G. and Witbrock, M. J., "Story Segmentation and Detection of commercials in Broadcast News Video", in Proceedings of the Advances in Digital Libraries Conference, 1998
Informedia - Search and Summarization in the Video Medium - Wactlar (2000) (2 citations) (Correct)
.... text clustering and topic classification [Yang94a,98a, Lafferty98, Hauptmann98b] and information retrieval from spoken documents [Hauptmann97b,97c,98c] Audio processing: speech recognition [Witbrock98a,98b] segmentation and alignment of spoken dialogue to existing transcripts [Hauptmann98a], and silence detection for better skim abstractions [Christel98] Image processing: face detection [Rowley95] and matching based on regions, textures, and colors [Gong98b] Video processing: key frame selection, skims [Smith96,97] Video OCR [Sato98] and Video Trails [Kobla97] The ....
Hauptmann, A.G., and Witbrock, M.J., Story Segmentation and Detection of Commercials in Broadcast News Video, ADL-98 Advances in Digital Libraries, Santa Barbara, CA, April 22-24, 1998.
Comparison and Combination of Two Novel Commercial.. - Duygulu, Chen, Hauptmann (2004) Self-citation (Hauptmann) (Correct)
No context found.
A. Hauptmann, M. Witbrock, "Story Segmentation and Detection of Commercials in Broadcast News Video ", Advances in Digital Libraries Conference (ADL'98), Santa Barbara, CA, April 22 - 24, 1998
Adjustable Filmstrips and Skims as Abstractions.. - Christel.. (1999) (5 citations) Self-citation (Hauptmann) (Correct)
....additional video digitized and processed daily. The news video often includes tags marking story boundaries within longer broadcasts. These story boundaries were initially added manually to the documentary footage. Subsequent experiments have looked at generating story boundaries automatically [7]. The Informedia stories, or video segments, average a few minutes in length, i.e. the collection contains over 40,000 video segments. Alternate representations of the video are automatically generated to enable the user to quickly decide which video segments are worth further inspection [2] ....
Hauptmann, A.G., and Witbrock, M.J. Story Segmentation and Detection of Commercials in Broadcast News Video. In Proc. ADL '98. (Santa Barbara, CA, April 1998), 168-179.
Merl -- A Mitsubishi Electric Research Laboratory - Http Www Merl (2004) (Correct)
No context found.
A. Hauptmann and M. Witbrock, "Story segmentation and detection of commercials in broadcast news video," in Proceedings of Advances in Digital Libraries Conference, April 1998.
Multimodal Video Indexing: A Review of the State-of-the-art - Snoek, Worring (2005) (10 citations) (Correct)
No context found.
A.G. Hauptmann and M.J. Witbrock, "Story segmentation and detection of commercials in broadcast news video," in ADL-98 Advances in Digital Libraries, Santa Barbara, USA, 1998, pp. 168--179.
TV Watcher: Distributed Media Analysis and Correlation - David Hilley Ahmed (2004) (Correct)
No context found.
Hauptmann, A. G., and Witbrock, M. J. Story segmentation and detection of commercials in broadcast news video. In Advances in Digital Libraries (1998), pp. 168--179.
Towards Auto-Documentary: Tracking the Evolution of - News Stori Es (2004) (Correct)
No context found.
A. Hauptmann, M. Witbrock, "Story Segmentation and Detection of Commercials in Broadcast News Video ", Advances in Digital Libraries Conference (ADL'98), Santa Barbara, CA, April 22 - 24, 1998
Audio-Visual Event Detection based on Mining of.. - Goh, Miyahara.. (2004) (Correct)
No context found.
A. Hauptmann and M. Witbrock, "Story segmentation and detection of commercials in broadcast news video," in Proceedings of Advances in Digital Libraries Conference, April 1998.
InsightVideo: Towards hierarchical video content.. - Zhu, Elmagarmid.. (Correct)
No context found.
A. Hauptmann, M. Witbrock, "Story Segmentation and Detection of Commercials in Broadcast News Video", ADL-98 Advances in Digital Libraries Conference, Santa Barbara, CA., April 22-24, 1998
Towards Auto-Documentary: Tracking the evolution - Of News In (2004) (Correct)
No context found.
A. Hauptmann, M. Witbrock, "Story Segmentation and Detection of Commercials in Broadcast News Video ", Advances in Digital Libraries Conference (ADL'98), Santa Barbara, CA, April 22 - 24, 1998
First 50 documents
Online articles have much greater impact More about CiteSeer.IST Add search form to your site Submit documents Feedback
CiteSeer.IST - Copyright Penn State and NEC