Color and Gamut Monitoring
The color fidelity of an image is an important part in the quality of the video signal and the artistic look and feel of the program. The video signal should be maintained within certain video levels in order to ensure that processing equipment does not clip or distort the color fidelity of the image. Today a variety of video processing equipment, such as legalizers limit the dynamic range of the video signal to maintain it within specific broadcast limits. These devices can desaturate, or clip, the video signal in order to maintain the signal within legal video limits and can possibly distort the overall color fidelity of the image.
Tektronix has developed a set of tools that helps editors and colorists adjust the color fidelity of the image and maintain the video signal within suitable limits. The traditional RGB waveform display and vector display are used to adjust video levels, and adjust color hue and saturation of the video signal. Tektronix has developed the Diamond and Split-Diamond display to help editors and colorists adjust the video signal within the RGB domain. To complement the Diamond display, Tektronix has developed the Spearhead display that allows colorist to adjust the video signal in terms of Lightness, Saturation and Value. Additionally, Tektronix has extended the traditional vector display to Luma Qualified Vector that allows the user to view the traditional vector display along with the luma component and select certain luma ranges to qualify that region of the vector display. In this presentation, we will discuss the basics of video measurement and how to use various Tektronix displays to quickly and easily adjust the video signal in order to maximize the color fidelity of the image, while keeping the video signal within acceptable broadcast limits.
Audio Loudness Monitoring and Measurement
Variations in audio loudness between program materials can lead the viewer to reach for the remote control in order to adjust the volume. This can become frustrating for the viewers, as they continually have to adjust the overall volume of the program. Today's digital audio systems allow for a much wider dynamic range to be sent to the home, and high fidelity audio systems allow for the full reproduction of the audio signal to be decoded. This leads to wider fluctuations between audio programs and allows for program producers to take full advantage of this wider dynamic range to make their program or commercial stand out from the rest and grab the audience's attention. Therefore broadcasters and program providers need to monitor the audio program, and ensure a consistent audio loudness level between programs.
The ITU has developed a standard ITU-R BS.1770/1 that provides a method for measuring the loudness of a mono, stereo or multiple channel audio programs. This standard has been adopted by the ATSC, who recommend practice A/85 that provides techniques for establishing and maintaining audio loudness for digital television systems. Tektronix has developed audio loudness monitoring based on these standards, which allow operators and engineers to easily monitor audio loudness of their programs. A simple Loudness meter provides a gauge of the loudness of the program, and a loudness session allows the user to chart the loudness variations over the duration of the program. This allows operators and engineers to maintain a consistent audio loudness between programs, commercial, and promo materials. In this presentation, we will discuss the basics of the standards and the methods used to monitor and measure audio loudness using a Tektronix waveform monitor or rasterizer.
Ancillary Data Monitoring
Ancillary data can be carried within a digital video signal within the horizontal and vertical blanking areas. This allows for associated data to be carried along with the video material and be synchronized with the signal. Initially the ancillary data space was used to carry multiple channels of embedded audio that allow for the audio signals to be synchronized with the video signal. Today the ancillary data space is used for a wide variety of different data packets that can carry information about the format of the video signal such as SMPTE 352, the video payload identifier, or SMPTE 2016, that provides information on the aspect ratio of the video program. Additionally, associated data service can be carried within the ancillary data space such a closed caption based on CEA608 and CEA708 standards.
With a wide variety of ancillary data now being carried within the serial digital interface (SDI), it is important to ensure that this data is correctly formatted and conveys the correct information within the packet. Tektronix has developed several displays to monitor the data carried by this ancillary data within the video signal. The Aux Data Status display provides presence and interpretation of the CEA608/708 closed caption data, timecode, and aspect ratio information. The ANC Data Inspector provides simple to interpret presence monitoring of all of the ANC data packets within the SDI signal and allows the user to quickly identify the location of the ANC data within the video signal. Using CaptureVu™, the engineer can get a more detailed view of a complete frame of the video signal either by using the instrument or externally using a PC. In this presentation we will discuss the basic format of the ancillary data packets and how to use the Tektronix waveform monitors to easily interpret and analyze these ANC data packets.
Benefits of Automated Quality Control on File-based Workflows
Many Operations Managers feel that the explosion of video files, format requirements and delivery choices is becoming unmanageable. Unblinking visual QC of incoming content is not comprehensive, fast, or scalable and has consequences for missing something important. A formalized content agreement between suppliers can reduce costly churn (rework of content) and often push the QC process upstream, saving you additional time and money. Automated, file-based QC can trap errors that humans cannot even see, scale with content growth, increase service quality, and get better leverage out of existing QC staff. In this paper, learn about how automated QC of file based video and audio can reduce your operations costs and improve your workflows.