|Publication number||US20070085908 A1|
|Application number||US 11/560,237|
|Publication date||Apr 19, 2007|
|Filing date||Nov 15, 2006|
|Priority date||Oct 22, 1996|
|Also published as||US6535681, US20020191936|
|Publication number||11560237, 560237, US 2007/0085908 A1, US 2007/085908 A1, US 20070085908 A1, US 20070085908A1, US 2007085908 A1, US 2007085908A1, US-A1-20070085908, US-A1-2007085908, US2007/0085908A1, US2007/085908A1, US20070085908 A1, US20070085908A1, US2007085908 A1, US2007085908A1|
|Inventors||Stanley Honey, Richard Cavallaro, Jerry Gepner, Edward Goren, David Hill|
|Original Assignee||Fox Sports Production, Inc.|
|Export Citation||BiBTeX, EndNote, RefMan|
|Patent Citations (54), Referenced by (6), Classifications (8)|
|External Links: USPTO, USPTO Assignment, Espacenet|
This application is a continuation of U.S. patent application Ser. No. 09/844,524, filed on Apr. 27, 2001, which is a continuation of U.S. patent application Ser. No. 09/627,106, filed on Jul. 27, 2000, which is a continuation of U.S. patent application Ser. No. 09/264,138, filed Mar. 5, 1999, now U.S. Pat. No. 6,141,060, which is a continuation of U.S. patent application Ser. No. 08/735,020, filed Oct. 22, 1996, now U.S. Pat. No. 5,917,553, incorporated herein by reference.
1. Field of the Invention
The present invention is directed to a method and apparatus for enhancing a television broadcast of a live event.
2. Description of the Related Art
The television presentation of live events could be improved by enhancing the video in real time to make the presentation more interesting to the viewer. For example, television viewers cannot see the entire playing field during a sporting event; therefore, the viewer may lose perspective as to where one of the players or objects are on the field in relation to the rest of the field, players or objects. During the telecast of football games cameras tend to zoom in on the players which allows the viewer to only see a small portion of the field. Because the viewer can only see a small portion of the field a viewer may not know where a particular player is in relation to the pertinent locations on the field. One instance is when a player is carrying the football, the television viewer may not know how far that player has to run for a first down. One enhancement that would be helpful to television viewers of football games is to highlight the field at the point where a player must advance in order to obtain a first down.
An enhancement that would be helpful to viewers of golf tournaments is to highlight those portions of a golf course that have been notorious trouble spots to golfers. While the professional golfer is aware of these trouble spots and hits the ball to avoid those spots, the television viewer may not be aware of those trouble spots and may wonder why a particular golfer is hitting the ball in a certain direction. If the golf course was highlighted to show these trouble spots, a television viewer would understand the strategy that the golfer is using and get more enjoyment out of viewing the golf tournament. Another useful enhancement would include showing the contours of the green. Similar enhancements to the playing field would be useful in other sports as well.
Furthermore, live events do not take advantage of the scope of the television audience with respect to advertising. First, advertisements on display at a stadium can be televised; however, many of those advertisements are not applicable to the television audience. For example, a particular sporting event may be played in San Francisco and televised around the world. A local store may pay for a billboard at the stadium. However, viewers in other parts of the United States or in other countries receiving the broadcast may not have access to that store and, thus, the broadcast of the advertisement is not effective. Second, some of the space at a stadium is not used because such use would interfere with the view of the players or the spectators at the stadium. However, using that space for advertisement would be very effective for the television audience. For example, the glass around the perimeter of a hockey rink would provide an effective place for advertisements to the television audience. However, such advertisements would block the view of spectators at the stadium. Third, some advertisements would be more effective if their exposure is limited to particular times when customers are thinking of that type of product. For example, an advertisement for an umbrella would be more effective while it was raining.
Previous attempts to enhance the video presentation of live events have not been satisfactory. Some broadcasters superimpose advertisements on the screen; however, these advertisements tend to block the view of the event.
Another solution included digitizing a frame of video and using a computer with pattern recognition software to locate the target image to be replaced in the frame of video. When the target image is found, a replacement image is inserted in its place. The problem with this solution is that the software is too slow and cannot be effectively used in conjunction with a live event. Such systems are even slower when they account for occlusions. An occlusion is something that blocks the target. For example, if the target is a billboard on the boards around a hockey rink, one example of an occlusion is a player standing in front of the billboard. When that billboard is replaced, the new billboard image must be inserted into the video such that the player appears to be in front of the replacement billboard.
The present invention is directed to a system for enhancing the broadcast of a live event. A target, at a live event, is selected to be enhanced. Examples of targets include advertisements at a stadium, portions of the playing field (e.g., football field, baseball field, soccer field, basketball court, etc.), locations at or near the stadium, or a monochrome background (e.g. for chroma-key) positioned at or near the stadium. The system of the present invention, roughly described, captures video using a camera, senses field of view data for that camera, determines a position and orientation of a video image of the target in the captured video and modifies the captured video by enhancing at least a portion of the video image of the target. Alternative embodiments of the present invention include determining the perspective of the video image of the target and/or preparing an occlusion for the video image of the target.
One embodiment of the present invention includes one or more field of view sensors coupled to a camera such that the sensors can detect data from which the field of view of the camera can be determined. The field of view sensors could include pan, tilt and/or zoom sensors. The system also includes a processor, a memory and a video modification unit. The memory stores a location of the target and, optionally, data representing at least a portion of the video image of the target. The processor, which is in communication with the memory and the field of view sensors, is programmed to determine whether the target is within the field of view of the camera and, if so, the position of the target within a frame of video of the camera. Alternate embodiments allow for the processor to determine the position of the target in the frame of video using field of view data, pattern (or image) recognition technology, electromagnetic signals and/or other appropriate means. One exemplar embodiment uses field of view data to find a rough location of the target and then uses pattern recognition to find the exact location. Such a combination of field of view data with pattern recognition technology provides for faster resolution of the target's location than using pattern recognition alone.
The video modification unit, which is in communication with the processor, modifies the frame of video to enhance at least a portion of the video image of the target. That is, a target can be edited, highlighted, overlayed or replaced with a replacement image. For example, a video modification unit can be used to highlight a portion of a football field (or other playing field) or replace a first billboard in a stadium with a second billboard. Because the system can be configured to use pattern recognition technology and field of view sensors, the system can be used with multiple broadcast cameras simultaneously. Therefore, a producer of a live event is free to switch between the various broadcast cameras at the stadium and the television viewer will see the enhancement regardless of which camera is selected by the producer.
An alternate embodiment contemplates replacing either the field of view sensors and/or the pattern recognition technology with electromagnetic transmitters and sensors. That is, the target can be used to emit an electromagnetic signal. A sensor can be placed at the camera, or the camera can be used as a sensor, to detect the signal from the target in order to locate the target. Once the target is located within the video frame, the system can enhance the video image of the target. A further alternative includes treating the target with spectral coatings so that the target will reflect (or emit) a distinct signal which can be detected by a camera with a filter or other sensor.
These and other objects and advantages of the invention will appear more clearly from the following description in which the preferred embodiment of the invention has been set forth in conjunction with the drawings.
Processor 156 is an Intel Pentium processor with supporting electronics; however, various other processors can be substituted. Processor 156 also includes memory and a disk drive to store data and software. In addition to being in communication with pan-tilt electronics 150 and analog to digital converter 154, processor 156 is in communication (via signal CB1) with a production center which is described below.
In one embodiment, pan sensor 146 and tilt sensor 148 are optical encoders that output a signal, measured as a number of clicks, indicating the rotation of a shaft. Forty thousand (40,000) clicks represent a full 360° rotation. Thus, a processor can divide the number of measured clicks by 40,000 and multiply by 360 to determine the pan or tilt angle in degrees. The pan and tilt sensors use standard technology known in the art and can be replaced by other suitable pan and tilt sensors known by those skilled in the relevant art. Pan/tilt electronics 150 receives the output of pan sensor 146 and tilt sensor 148, converts the output to a digital signal (representing pan and tilt) and transmits the digital signal to processor 156. The pan, tilt and zoom sensors are used to determine the field of view of the broadcast camera. Thus, one or more of the pan, tilt or zoom sensors can be labeled as a field of view senor(s). For example, if a camera cannot zoom or tilt, the field of view sensor would only include a pan sensor.
An alternative field of view sensor includes placing marks in various known locations in the stadium such that each mark looks different and at least one mark will always be visible to the camera while the camera is pointed at the relevant portions of the stadium. A computer using pattern recognition technology can find the mark in a frame of video and, based on the mark's size and position in the frame of video, determine more precisely the field of view and/or pan, tilt or zoom of the camera. A system can also be set up to use pan/tilt/zoom sensors in combination with the marks described above so that the pan/tilt/zoom can be used to make a rough estimate of where the camera is pointing and the mark is used to achieve a more accurate estimate. In such a combination system the marks need not look different if the placement of the marks is predetermined. Another alternative includes placing infrared emitters or beacons along the perimeter of the playing field or other portions of the stadium. A computer can determine an infrared sensor's field of view based on the location of the signal in the infrared sensor's frame of data. If the infrared sensor is mounted on a broadcast camera, determining the pan and tilt of the infrared sensor determines the pan and tilt of the broadcast camera plus a known offset. A more detailed discussion of using infrared technology, pan/tilt/zoom sensors, three dimensional location finding technology and video enhancement can be found in U.S. patent application Ser. No. 08/585,145, A System For Enhancing The Television Presentation Of An Object At A Sporting Event, incorporated herein by reference.
Broadcasters use many broadcast cameras at the stadium to televise a sporting event. The video signals from the various cameras are sent to video control 202 which is used to select one broadcast camera for transmission to viewers. One embodiment of video control 202 includes a plurality of monitors (one monitor for each video signal) and a selection circuit. A director (or manager, producer, etc.) can monitor the different video signals and choose which signals to broadcast. The choice would be communicated to the selection circuit which selects one camera signal to broadcast. The choice is also communicated to processor 200, video mixer 204 and multiplexer 206 via signal 208. The selected video signal is sent to delay 210 and processor 200 via analog to digital converter 212. If the broadcast camera is a digital camera, then there would be no need for analog to digital converter 212.
The output of delay 210 is sent to video modification unit 214. The purpose of delay 210 is to delay the broadcast video signal a fixed number of frames to allow time for processor 200 to receive data, determine the position of the target in the frame of video and prepare any enhancements. Although the video is delayed a small number of frames, the television signal is still defined as live. The delay introduced by the system is a small delay (under one second) which does not accumulate. That is, different frames of video are enhanced with the same small delay. For example, a ten frame delay is equivalent to one-third of a second, which is not considered a significant delay for television.
Video mixer 204 receives the video signals from all of the dedicated cameras.
Multiplexer 206 receives signals from the processors at each of the camera locations. For example,
Processor 200 is connected to memory 220 which stores the locations of the targets and images of the targets (or at least partial images). Memory 220 also stores images of the replacement graphics, instructions for creating replacement graphics and/or instructions for highlighting, editing, etc. Memory 200 is loaded with its data and maintained by processor 222. The inventors contemplate that during operation of this system, processor 200 will be too busy to use compute time for loading and maintaining memory 220. Thus, a separate processor 222 is used to load and maintain the memory during operation. If cost is a factor, processor 222 can be eliminated and processor 200 will be used to load and maintain memory 220; however, for optimal performance memory 220 should be loaded, if possible, prior to the broadcast.
The images and locations of targets can be loaded into memory 220 either manually or automatically. For example, if the target's image and location are known in advance (e.g. an advertisement at the stadium) then prior to real-time operation of the system an operator can input the location of the target and scan in (or otherwise download) an image of the target. Alternatively, the operator can point one or more cameras at the target and use a mouse, light pen or other pointing device to select the target's image for storing in memory 220. The location of the target can be determined by physical measurement, using pan/tilt/zoom sensors, etc. If the target is not known in advance (for example if the target is the first down yard line) then the operator can select the target during operation using a pointing device and the system will download the image of the target and its location (using pan/tilt/zoom data) to memory 220. Alternatively, the system can be programmed to know that the target is one of a set of possible targets. For example, the system can be programmed to know that the target is a yard line and the operator need only input which yard line is the current target. The replacement graphics are loaded into memory after being digitized, downloaded or the replacement graphics can be created with processor 222. Instructions for highlighting or creating replacement graphics can be programmed using processor 222 or processor 200.
Processor 200 is connected to video modification unit 214. The output of video modification unit 214, labeled as signal 226, is the video signal intended for broadcast. This signal can be directly broadcast or sent to other hardware for further modification or recording. Video modification unit 214 modifies the video signal from delay 210 with the data/signal from processor 200. The type of modification can vary depending on the desired graphic result. One exemplar implementation uses a linear keyer as a video modification unit 214. When using a keyer, the signal from the video processor 200 to the keyer includes two signals: YUV and an external key (alpha). The YUV signal is called foreground and the signal from delay 210 is called background. Based on the level of the external key, the keyer determines how much of the foreground and background to mix to determine the output signal, from 100 percent foreground and zero percent background to zero percent foreground and 100 percent background, on a pixel by pixel basis. Alternatively, video modification unit 214 can be another processor or video modification unit 214 can be a part of processor 200.
In operation, processor 200 determines the field of view of the selected broadcast camera and checks memory 220 to see if any targets are within that field of view. If so, processor 200 then determines the exact position of the target in a frame of video by determining which pixels represent the target. Processor 200 then checks memory 220 for the replacement graphic or instructions to make a replacement graphic (or highlight). If the replacement strategy is to highlight a certain portion of a field, then memory 220 may include instructions for changing the color of a certain portion of the field, shading of a certain portion of the field, etc. Based on the pan, tilt and zoom, and the actual image of the target, processor 200 determines the size and orientation of the replacement graphic (also called mapping). In one embodiment, the enhancement includes processor 200 creating a frame of video with a graphic at the position of the enhancement. The frame created by processor 200 is sent to video modification unit 214 which combines the frame from processor 200 with the frame from delay 210. As will be described below, processor 200 is also used to account for occlusions. An alternate embodiment includes eliminating the separate video modification unit and using processor 200 to edit the video signal from the selected broadcast camera.
Preferably, determining the position of the target is a two-step process. In the first step (step 308) a rough estimate is made based on the pan, tilt and zoom values and in the second step the estimate of the target's position is refined (step 310). In regard to step 308, by knowing where the camera is pointed and the target's three dimensional location, the target's position in the video frame can be estimated. The accuracy of step 308 is determined by the accuracy of the pan/tilt/zoom sensors, the software used to determine the field of view and the stability of the platform on which the camera is located. In some alternatives, the field of view sensor equipment may be so accurate that the position of the target is adequately determined and step 310 is not necessary. In other instances, the pan, tilt and zoom data only provides a rough estimate 308 (e.g a range of positions or general area of position) and step 310 is needed to determine a more accurate position.
Step 310 provides a more accurate determination of the target's position using pattern recognition techniques which are known in the art. Example of known pattern recognition and image processing technology can be found in the following documents: U.S. Pat. No. 3,973,239, Pattern Preliminary Processing System; U.S. Pat. No. 4,612,666, Automatic Pattern Recognition Apparatus; U.S. Pat. No. 4,674,125, Real-Time Hierarchal Pyramid Signal Processing Apparatus; U.S. Pat. No. 4,817,171, Pattern Recognition System; U.S. Pat. No. 4,924,507, Real-Time Optical Multiple Object Recognition and Tracking System and Method; U.S. Pat. No. 4,950,050, Optical Target Recognition System; U.S. Pat. No. 4,995,090, Optoelectronic Pattern Comparison System; U.S. Pat. No. 5,060,282, Optical Pattern Recognition Architecture Implementing The Mean-Square Error Correlation Algorithm; U.S. Pat. No. 5,142,590, Pattern Recognition System; U.S. Pat. No. 5,241,616, Optical Pattern Recognition System Utilizing Resonator Array; U.S. Pat. No. 5,274,716, Optical Pattern Recognition Apparatus; U.S. Pat. No. 5,465,308, Pattern Recognition System; U.S. Pat. No. 5,469,512, Pattern Recognition Device; and U.S. Pat. No. 5,524,065, Method and Apparatus For Pattern Recognition. It is contemplated that step 310 can use suitable technology other than pattern recognition technology.
In step 312, processor 200 fetches the replacement graphic from memory 220. If memory 220 is storing instructions for replacement graphics, then processor 200 fetches the instructions and creates the graphic. For example, creating the graphic can include drawing a highlight for the yard line of a football field. In step 314, processor 200 determines the size and orientation of the replacement image, and maps the replacement image to the video frame. Memory 220 merely stores one size image. Because of the pan, tilt and zoom of the broadcast camera, the image stored in memory 220 may need to be mapped to the video frame (e.g. magnified, reduced, twisted, angled, etc.). Processor 200 can determine the orientation based on the field of view data and/or the pattern recognition analysis in step 310. For example, by knowing where the broadcast camera is located and the pan, tilt and zoom of the broadcast camera, a computer can be programmed to figure how to map the replacement image or highlight on to the video frame.
In step 316, the system accounts for occlusions. If there is an object or person in front of the target, then the enhanced video should show the object or person in front of the replacement graphic, highlight, etc. In one embodiment, the system cuts out a silhouette in the shape of the object or person from the replacement image. Step 316 is discussed in more detail with respect to
In step 318, the system modifies the video of the original broadcast camera. As discussed above, this could include creating a second frame of video which includes a replacement image and using a keyer to combine the second frame of video with the original frame of video. Alternatively, a processor can be used to edit the frame of video of the broadcast camera. It is possible that within a given frame of video there may be more than one target. In that case steps 308-318 may be repeated for each target, or steps 308-316 may be repeated for each target and step 318 be performed only once for all targets. Subsequent to step 318, the enhanced frame of video may be broadcast or stored, and the process (steps 300-318) may repeat for another frame of video.
Once the television broadcast of the live event begins, steps 352-362 are repeated for each frame where the occlusion analysis is desired. In step 352, a video image is captured and digitized by the dedicated camera. Simultaneously, a video image is captured by the broadcast camera. In step 354, the digitized image from the dedicated camera is compared to the stored image of the target. The stored image is stored in memory 220. The processor knows which stored image to compare with from step 306 of
An alternative to the method of
One example of an infrared sensor is a progressive scan, full frame shutter camera, for example, the TM-9701 by Pulnix. The Pulnix sensor is a high resolution 768(H) by 484(V) black and white full frame shutter camera with asynchronous reset capability. The camera has an eight bit digital signal output and progressively scans 525 lines of video data. A narrow band infrared filter is affixed in front of the lens of the Pulnix sensor. The purpose of the filter is to block electromagnetic signals that are outside the spectrum of the signal from the beacon. The sensor captures a frame of video (data) which comprises a set of pixels. Each pixel is assigned a coordinate corresponding to an x-axis and a y-axis. The sensor data includes an eight bit brightness value for each pixel, which are scanned out pixel by pixel to interface 412 along with other timing information. Interface 412 outputs four signals: LDV, FDV, CK and DATA. LDV (line data valid) is transmitted to X-Y counters 414 and indicates that a new line of valid data is being scanned out of sensor 410. FDV (frame data valid) which is transmitted to X-Y counters 414 and memory control 416, indicates that valid data for the next frame is being transmitted. CK (pixel clock) is a 14.318 MHZ clock from sensor 414 sent to X-Y counters 414 and memory control 416. X-Y counters 414 counts X and Y coordinates sequentially in order to keep track of the location of the pixel whose data is being scanned in at the current time. When LDV is inserted, the X counter is reset. When FDV is inserted, the Y counter is reset.
The signal Data includes the eight bit data value for each pixel. As data is read from sensor 410, memory control 416 determines whether the pixels meets a brightness threshold. That is, noise and other sources will cause a large number of pixels to receive some data. However, the pixels receiving the signal from the beacon will have at least a minimum brightness level. This brightness threshold is set in a register (not shown) which can be set by processor 408. If the data for a particular pixel is above the brightness threshold, memory control 416 sends a write enable (WE) signal to memory 418, causing memory 418 to store the X and Y coordinates of the pixel, the data for that pixel and a code for that pixel. The code indicates that the data is valid data, a new frame, end of frame or a flash. Processor 408 can read the data from memory 418 and process the data locally or transmit the data to the production center (e.g., to multiplexer 206).
Many arenas do not allow photographers to use flashes on their cameras in order to prevent impairing a player's vision from random flashes during a sporting event. In lieu of individual camera flashes, many arenas install a set of strobe flashes at or near the ceiling of the arenas and provide for communication between each photographer's camera and the set of strobe flashes. When the photographer takes a picture, the strobe flashes emit a flash of light, which may include an electromagnetic wave in the infrared spectrum. In one embodiment, the system avoids using incorrect data due to sensors detecting a flash by using filters. A second embodiment connects a signal from a strobe flash to a computer which causes the system to ignore data sensed during a flash. A third embodiment includes using flash detectors. The flash detector can be located anywhere in the arena suitable for sensing a strobe flash.
The embodiment described in
A further alternative of
The foregoing detailed description of the invention has been presented for purposes of illustration and description. It is not intended to be exhaustive or to limit the invention to the precise form disclosed, and obviously many modifications and variations are possible in light of the above teaching. The described embodiments of the system for enhancing the broadcast of a live event were chosen in order to best explain the principles of the invention and its practical application to thereby enable others skilled in the art to best utilize the invention in various embodiments and with various modifications as are suited to the particular use contemplated. The invention is, thus, intended to be used with many different types of live events including various sporting events and nonsporting events. It is intended that the scope of the invention be defined by the claims appended hereto.
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|US20050251843 *||May 4, 2005||Nov 10, 2005||Walker Gordon K||Method and apparatus for programming blackout and retune|
|US20130159295 *||Feb 14, 2013||Jun 20, 2013||John Nicholas Gross||Method for identifying and ranking news sources|
|U.S. Classification||348/157, 348/E05.086|
|International Classification||G02B6/44, H04N7/18|
|Cooperative Classification||H04N5/32, G02B6/4452|
|European Classification||G02B6/44C8A4, H04N5/32|