Exploring Video Streams using Slit-Tear Visualizations - Revision history

UE-InfoVis09-01 at 11:05, 27 May 2009

2009-05-27T11:05:54Z

← Older revision		Revision as of 11:05, 27 May 2009
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	{{Quotation\|More generally, events of interest can be problematic to see in conventional replay of video when the image quality may be poor, events may be very brief or spatially small, and patterns over time may be hard to detect. Slit-tears are a technique that helps to overcome these difficulties.\| [Tang et al., 2008]}}		{{Quotation\|More generally, events of interest can be problematic to see in conventional replay of video when the image quality may be poor, events may be very brief or spatially small, and patterns over time may be hard to detect. Slit-tears are a technique that helps to overcome these difficulties.\| [Tang et al., 2008]}}

	{{Quotation\|The interactivity of slit-tear placement at any time (inclding clearing old slit-tears) means that people can use it as a tool for ongoing generation and provisional testing of hypothesis about the video data.\| [Tang~~, A., Greenberg, S., and Fels, S~~., 2008]}}		{{Quotation\|The interactivity of slit-tear placement at any time (inclding clearing old slit-tears) means that people can use it as a tool for ongoing generation and provisional testing of hypothesis about the video data.\| [Tang et al., 2008]}}

	{{Quotation\|...our slit-tear tool conceptualizes the analysis space in a readily understood ''camera'' and ''pixel'' space. The timeline simply takes selected areas of the video and translates the time dimension to a spatial dimension. The raw data is still visible in this representation.\| [Tang et al., 2008]}}		{{Quotation\|...our slit-tear tool conceptualizes the analysis space in a readily understood ''camera'' and ''pixel'' space. The timeline simply takes selected areas of the video and translates the time dimension to a spatial dimension. The raw data is still visible in this representation.\| [Tang et al., 2008]}}

UE-InfoVis09-01 at 12:35, 25 May 2009

2009-05-25T12:35:54Z

← Older revision		Revision as of 12:35, 25 May 2009
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	'''Composition of a slit-tear visualization'''		'''Composition of a slit-tear visualization'''

	For each video frame, the pictures under each slit are captured and aligned into a vertical column which is appended to the right side of the visualization. The bottom of the image represents a number of video frames that capture a top-down view of a room with three blue doorways. Herein, four slits have been manually defined. The actual slit-tear visualization above shows the occurence of events. In frame two, a person walks towards to the bottom door, crossing slit number 2. This intrusion is captured and can be seen as yellow trace in successive frames for the corresponding slit.		For each video frame, the pictures under each slit are captured and aligned into a vertical column which is appended to the right side of the visualization. The bottom of the image represents a number of video frames that capture a top-down view of a room with three blue doorways. Herein, four slits have been manually defined. The actual slit-tear visualization above shows the occurence of events. In frame two, a person walks towards to the bottom door, crossing slit number 2. This intrusion is captured and can be seen as yellow trace in successive frames for the corresponding slit. [[Image:Slit image.jpeg\|thumb\|How slit-tears create a visualization]]
	[[Image:Slit image.jpeg\|thumb\|How slit-tears create a visualization]]


	'''Pattern-level analysis'''		'''Pattern-level analysis'''

	This image shows how events can be visualized spatially which allows for a discovery of patterns and for an effective correlation of events. Frames t1 to t5 capture a traffic intersection at particular moments in time according to the three slits, drawn by the observer. The interaction of cars and pedestrians is visualized by setting up a timeline for each pre-defined slit where the movement of the objects is depicted by strokes of different length, based on their orientation to each slit.		This image shows how events can be visualized spatially which allows for a discovery of patterns and for an effective correlation of events. Frames t1 to t5 capture a traffic intersection at particular moments in time according to the three slits, drawn by the observer. The interaction of cars and pedestrians is visualized by setting up a timeline for each pre-defined slit where the movement of the objects is depicted by strokes of different length, based on their orientation to each slit. [[Image:Intersection.jpeg\|thumb\|Traffic intersection]]
	[[Image:Intersection.jpeg\|thumb\|Traffic intersection]]

	== Important citations ==		== Important citations ==

UE-InfoVis09-01 at 12:35, 25 May 2009

2009-05-25T12:35:13Z

← Older revision		Revision as of 12:35, 25 May 2009
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	== Figures ==		== Figures ==
	'''Composition of a slit-tear visualization'''		'''Composition of a slit-tear visualization'''

	For each video frame, the pictures under each slit are captured and aligned into a vertical column which is appended to the right side of the visualization. The bottom of the image represents a number of video frames that capture a top-down view of a room with three blue doorways. Herein, four slits have been manually defined. The actual slit-tear visualization above shows the occurence of events. In frame two, a person walks towards to the bottom door, crossing slit number 2. This intrusion is captured and can be seen as yellow trace in successive frames for the corresponding slit.		For each video frame, the pictures under each slit are captured and aligned into a vertical column which is appended to the right side of the visualization. The bottom of the image represents a number of video frames that capture a top-down view of a room with three blue doorways. Herein, four slits have been manually defined. The actual slit-tear visualization above shows the occurence of events. In frame two, a person walks towards to the bottom door, crossing slit number 2. This intrusion is captured and can be seen as yellow trace in successive frames for the corresponding slit.
	[[Image:Slit image.jpeg\|thumb\|How slit-tears create a visualization]]		[[Image:Slit image.jpeg\|thumb\|How slit-tears create a visualization]]
	~~<br>~~

	'''Pattern-level analysis'''		'''Pattern-level analysis'''

	This image shows how events can be visualized spatially which allows for a discovery of patterns and for an effective correlation of events. Frames t1 to t5 capture a traffic intersection at particular moments in time according to the three slits, drawn by the observer. The interaction of cars and pedestrians is visualized by setting up a timeline for each pre-defined slit where the movement of the objects is depicted by strokes of different length, based on their orientation to each slit.		This image shows how events can be visualized spatially which allows for a discovery of patterns and for an effective correlation of events. Frames t1 to t5 capture a traffic intersection at particular moments in time according to the three slits, drawn by the observer. The interaction of cars and pedestrians is visualized by setting up a timeline for each pre-defined slit where the movement of the objects is depicted by strokes of different length, based on their orientation to each slit.
	[[Image:Intersection.jpeg\|thumb\|Traffic intersection]]		[[Image:Intersection.jpeg\|thumb\|Traffic intersection]]
	~~<br>~~

	== Important citations ==		== Important citations ==

UE-InfoVis09-01 at 12:32, 25 May 2009

2009-05-25T12:32:50Z

← Older revision		Revision as of 12:32, 25 May 2009
Line 15:		Line 15:
	'''Composition of a slit-tear visualization'''		'''Composition of a slit-tear visualization'''
	For each video frame, the pictures under each slit are captured and aligned into a vertical column which is appended to the right side of the visualization. The bottom of the image represents a number of video frames that capture a top-down view of a room with three blue doorways. Herein, four slits have been manually defined. The actual slit-tear visualization above shows the occurence of events. In frame two, a person walks towards to the bottom door, crossing slit number 2. This intrusion is captured and can be seen as yellow trace in successive frames for the corresponding slit.		For each video frame, the pictures under each slit are captured and aligned into a vertical column which is appended to the right side of the visualization. The bottom of the image represents a number of video frames that capture a top-down view of a room with three blue doorways. Herein, four slits have been manually defined. The actual slit-tear visualization above shows the occurence of events. In frame two, a person walks towards to the bottom door, crossing slit number 2. This intrusion is captured and can be seen as yellow trace in successive frames for the corresponding slit.
	[[Image:~~Slit_tear~~.jpeg\|thumb\|How slit-tears create a visualization]]		[[Image:Slit image.jpeg\|thumb\|How slit-tears create a visualization]]
	<br>		<br>
	'''Pattern-level analysis'''		'''Pattern-level analysis'''

UE-InfoVis09-01 at 12:31, 25 May 2009

2009-05-25T12:31:46Z

← Older revision		Revision as of 12:31, 25 May 2009
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	== Figures ==		== Figures ==
			'''Composition of a slit-tear visualization'''
			For each video frame, the pictures under each slit are captured and aligned into a vertical column which is appended to the right side of the visualization. The bottom of the image represents a number of video frames that capture a top-down view of a room with three blue doorways. Herein, four slits have been manually defined. The actual slit-tear visualization above shows the occurence of events. In frame two, a person walks towards to the bottom door, crossing slit number 2. This intrusion is captured and can be seen as yellow trace in successive frames for the corresponding slit.
			[[Image:Slit_tear.jpeg\|thumb\|How slit-tears create a visualization]]
			<br>
	'''Pattern-level analysis'''		'''Pattern-level analysis'''
	This image shows how events can be visualized spatially which allows for a discovery of patterns and for an effective correlation of events. Frames t1 to t5 capture a traffic intersection at particular moments in time according to the three slits, drawn by the observer. The interaction of cars and pedestrians is visualized by setting up a timeline for each pre-defined slit where the movement of the objects is depicted by strokes of different length, based on their orientation to each slit.		This image shows how events can be visualized spatially which allows for a discovery of patterns and for an effective correlation of events. Frames t1 to t5 capture a traffic intersection at particular moments in time according to the three slits, drawn by the observer. The interaction of cars and pedestrians is visualized by setting up a timeline for each pre-defined slit where the movement of the objects is depicted by strokes of different length, based on their orientation to each slit.
			[[Image:Intersection.jpeg\|thumb\|Traffic intersection]]
	[[Image:Intersection.jpeg\|thumb\|Traffic intersection]]<br>		<br>

	== Important citations ==		== Important citations ==

UE-InfoVis09-01 at 12:18, 25 May 2009

2009-05-25T12:18:14Z

← Older revision		Revision as of 12:18, 25 May 2009
Line 13:		Line 13:

	== Figures ==		== Figures ==
	'''Pattern-level analysis:'''		'''Pattern-level analysis'''

	This image shows how events can be visualized spatially which allows for a discovery of patterns and for an effective correlation of events. Frames t1 to t5 capture a traffic intersection at particular moments in time according to the three slits, drawn by the observer. The interaction of cars and pedestrians is visualized by setting up a timeline for each pre-defined slit where the movement of the objects is depicted by strokes of different length, based on their orientation to each slit.		This image shows how events can be visualized spatially which allows for a discovery of patterns and for an effective correlation of events. Frames t1 to t5 capture a traffic intersection at particular moments in time according to the three slits, drawn by the observer. The interaction of cars and pedestrians is visualized by setting up a timeline for each pre-defined slit where the movement of the objects is depicted by strokes of different length, based on their orientation to each slit.

	[[Image:Intersection.jpeg\|thumb\|Traffic intersection]]		[[Image:Intersection.jpeg\|thumb\|Traffic intersection]]<br>

	== Important citations ==		== Important citations ==

UE-InfoVis09-01 at 12:17, 25 May 2009

2009-05-25T12:17:17Z

← Older revision		Revision as of 12:17, 25 May 2009
Line 17:		Line 17:
	This image shows how events can be visualized spatially which allows for a discovery of patterns and for an effective correlation of events. Frames t1 to t5 capture a traffic intersection at particular moments in time according to the three slits, drawn by the observer. The interaction of cars and pedestrians is visualized by setting up a timeline for each pre-defined slit where the movement of the objects is depicted by strokes of different length, based on their orientation to each slit.		This image shows how events can be visualized spatially which allows for a discovery of patterns and for an effective correlation of events. Frames t1 to t5 capture a traffic intersection at particular moments in time according to the three slits, drawn by the observer. The interaction of cars and pedestrians is visualized by setting up a timeline for each pre-defined slit where the movement of the objects is depicted by strokes of different length, based on their orientation to each slit.

	[[Image:Intersection.jpeg\|thumb\|Traffic intersection ~~showing the interaction patterns of cars and pedestrians~~]]		[[Image:Intersection.jpeg\|thumb\|Traffic intersection]]

	== Important citations ==		== Important citations ==

UE-InfoVis09-01 at 12:16, 25 May 2009

2009-05-25T12:16:33Z

← Older revision		Revision as of 12:16, 25 May 2009
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	== Figures ==		== Figures ==
	'''~~Social Aspects~~:'''		'''Pattern-level analysis:'''

	This ~~plot is~~ a ~~representation~~ of ~~the students' social activities (i.e~~. in ~~a discussion board); It allows different views on aspects like date~~, ~~student or topic~~. The ~~size~~ of ~~the point describes the intensity~~ and the ~~color~~ the ~~activity a student did (red for start a topic~~, ~~green for an answer and blue for reading)~~.		This image shows how events can be visualized spatially which allows for a discovery of patterns and for an effective correlation of events. Frames t1 to t5 capture a traffic intersection at particular moments in time according to the three slits, drawn by the observer. The interaction of cars and pedestrians is visualized by setting up a timeline for each pre-defined slit where the movement of the objects is depicted by strokes of different length, based on their orientation to each slit.

	[[Image:~~Sozal_Aspects~~.~~jpg~~\|thumb\|~~Social Aspects~~]]		[[Image:Intersection.jpeg\|thumb\|Traffic intersection showing the interaction patterns of cars and pedestrians]]

	== Important citations ==		== Important citations ==

UE-InfoVis09-01 at 12:04, 25 May 2009

2009-05-25T12:04:51Z

← Older revision		Revision as of 12:04, 25 May 2009
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	== Short description ==		== Short description ==
	{{Quotation\|Video slicing — a variant of slit scanning in photography — extracts a scan line from a video frame and successively adds that line to a composite image over time. The composite image becomes a time line, where its visual patterns reflect changes in a particular area of the video stream. We extend this idea of video slicing by allowing users to draw marks anywhere on the source video to capture areas of interest. These marks, which we call slit-tears, are used in place of a scan line, and the resulting composite timeline image provides a much richer visualization of the video data. Depending on how tears are placed, they can accentuate motion, small changes, directional movement, and relational patterns.\| [~~Anthony~~ Tang~~, Saul Greenberg, Sidney Fels~~, 2008]}}		{{Quotation\|Video slicing — a variant of slit scanning in photography — extracts a scan line from a video frame and successively adds that line to a composite image over time. The composite image becomes a time line, where its visual patterns reflect changes in a particular area of the video stream. We extend this idea of video slicing by allowing users to draw marks anywhere on the source video to capture areas of interest. These marks, which we call slit-tears, are used in place of a scan line, and the resulting composite timeline image provides a much richer visualization of the video data. Depending on how tears are placed, they can accentuate motion, small changes, directional movement, and relational patterns.\| [Tang et al., 2008]}}


Line 13:		Line 13:

	== Figures ==		== Figures ==
			'''Social Aspects:'''

			This plot is a representation of the students' social activities (i.e. in a discussion board); It allows different views on aspects like date, student or topic. The size of the point describes the intensity and the color the activity a student did (red for start a topic, green for an answer and blue for reading).

			[[Image:Sozal_Aspects.jpg\|thumb\|Social Aspects]]

	== Important citations ==		== Important citations ==

	{{Quotation\|More generally, events of interest can be problematic to see in conventional replay of video when the image quality may be poor, events may be very brief or spatially small, and patterns over time may be hard to detect. Slit-tears are a technique that helps to overcome these difficulties.\| [Tang~~, A., Greenberg, S., and Fels, S~~., 2008]}}		{{Quotation\|More generally, events of interest can be problematic to see in conventional replay of video when the image quality may be poor, events may be very brief or spatially small, and patterns over time may be hard to detect. Slit-tears are a technique that helps to overcome these difficulties.\| [Tang et al., 2008]}}

	{{Quotation\|The interactivity of slit-tear placement at any time (inclding clearing old slit-tears) means that people can use it as a tool for ongoing generation and provisional testing of hypothesis about the video data.\| [Tang, A., Greenberg, S., and Fels, S., 2008]}}		{{Quotation\|The interactivity of slit-tear placement at any time (inclding clearing old slit-tears) means that people can use it as a tool for ongoing generation and provisional testing of hypothesis about the video data.\| [Tang, A., Greenberg, S., and Fels, S., 2008]}}

	{{Quotation\|...our slit-tear tool conceptualizes the analysis space in a readily understood ''camera'' and ''pixel'' space. The timeline simply takes selected areas of the video and translates the time dimension to a spatial dimension. The raw data is still visible in this representation.\| [Tang~~, A., Greenberg, S., and Fels, S~~., 2008]}}		{{Quotation\|...our slit-tear tool conceptualizes the analysis space in a readily understood ''camera'' and ''pixel'' space. The timeline simply takes selected areas of the video and translates the time dimension to a spatial dimension. The raw data is still visible in this representation.\| [Tang et al., 2008]}}

	== Evaluation ==		== Evaluation ==
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	== References ==		== References ==
	[Tang, A., Greenberg~~, S.,~~ and Fels, S.~~, 2008]~~ [http://portal.acm.org/citation.cfm?id=1520340.1520516 Exploring Video Streams using Slit-Tear Visualizations.] In Proceedings of the working conference on Advanced Visual Interfaces (AVI 2008). (May 28-30, Napoli, Italy). ACM Press. pp: 191-198.		[Tang et al., 2008] Anthony Tang, Saul Greenberg and Sidney Fels, 2008. [http://portal.acm.org/citation.cfm?id=1520340.1520516 Exploring Video Streams using Slit-Tear Visualizations.] In Proceedings of the working conference on Advanced Visual Interfaces (AVI 2008). (May 28-30, Napoli, Italy). ACM Press. pp: 191-198.

	== Demonstrations ==		== Demonstrations ==

UE-InfoVis09-01 at 11:21, 25 May 2009

2009-05-25T11:21:54Z

← Older revision		Revision as of 11:21, 25 May 2009
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	== Evaluation ==		== Evaluation ==
			As per May 2009, there are no evaluations of slit-tear visualizations. Hence, an evaluation of the effectiveness of this tool for novice users in realistic tasks is planned for the near future.

	== References ==		== References ==
	[Tang, A., Greenberg, S., and Fels, S., 2008] [http://portal.acm.org/citation.cfm?id=1520340.1520516 Exploring Video Streams using Slit-Tear Visualizations.] In Proceedings of the working conference on Advanced Visual Interfaces (AVI 2008). (May 28-30, Napoli, Italy). ACM Press. pp: 191-198.		[Tang, A., Greenberg, S., and Fels, S., 2008] [http://portal.acm.org/citation.cfm?id=1520340.1520516 Exploring Video Streams using Slit-Tear Visualizations.] In Proceedings of the working conference on Advanced Visual Interfaces (AVI 2008). (May 28-30, Napoli, Italy). ACM Press. pp: 191-198.

	~~== Evaluation References ==~~

	== Demonstrations ==		== Demonstrations ==

← Older revision		Revision as of 11:05, 27 May 2009
Line 26:		Line 26:
	{{Quotation\|More generally, events of interest can be problematic to see in conventional replay of video when the image quality may be poor, events may be very brief or spatially small, and patterns over time may be hard to detect. Slit-tears are a technique that helps to overcome these difficulties.\| [Tang et al., 2008]}}		{{Quotation\|More generally, events of interest can be problematic to see in conventional replay of video when the image quality may be poor, events may be very brief or spatially small, and patterns over time may be hard to detect. Slit-tears are a technique that helps to overcome these difficulties.\| [Tang et al., 2008]}}

	{{Quotation\|The interactivity of slit-tear placement at any time (inclding clearing old slit-tears) means that people can use it as a tool for ongoing generation and provisional testing of hypothesis about the video data.\| [Tang~~, A., Greenberg, S., and Fels, S~~., 2008]}}		{{Quotation\|The interactivity of slit-tear placement at any time (inclding clearing old slit-tears) means that people can use it as a tool for ongoing generation and provisional testing of hypothesis about the video data.\| [Tang et al., 2008]}}

	{{Quotation\|...our slit-tear tool conceptualizes the analysis space in a readily understood ''camera'' and ''pixel'' space. The timeline simply takes selected areas of the video and translates the time dimension to a spatial dimension. The raw data is still visible in this representation.\| [Tang et al., 2008]}}		{{Quotation\|...our slit-tear tool conceptualizes the analysis space in a readily understood ''camera'' and ''pixel'' space. The timeline simply takes selected areas of the video and translates the time dimension to a spatial dimension. The raw data is still visible in this representation.\| [Tang et al., 2008]}}