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that make two sounds having the same pitch and loudness sound different. These descriptors relate to notions like attack, brightness, or richness of the sound. Sound recognition tools are for indexing and categorizing a broad range of general sounds, with immediate application to sound effects. Spoken content description tools allow detailed the description of words spoken within an audio stream. Melody description tools allow for efficient and robust melodic similarity matching, for example, in query-byhumming. A five-step contour representing the interval between adjacent notes and some basic rhythmic information is used. Higher-precision description schemes are allowed, as well as a series of optional descriptors such as lyrics, key, meter, and starting note. MPEG-7 s visual description tools consist of basic structures and descriptors that describe the following basic visual features: color, texture, shape, motion, localization, and others. Each category consists of elementary and sophisticated descriptors. The basic structures to describe visual data are the grid layout, the time series, multi-view, the spatial two-dimensional coordinates, and temporal interpolation. Grid layout is a splitting of the image into a set of equally sized rectangular regions, so that each region can be described separately, in terms of other descriptors, like color or texture. Each rectangle s descriptor allows the assignment of subdescriptors to all rectangular regions, as well as to an arbitrary subset of these regions. The time series provides for frame matching and image-toframe matching descriptors. These may be regular time series, or irregular time series. Multi-view is a 2D/3D descriptor representing the visual features of 3D objects seen from different viewing angles. Spatial 2D coordinates describe the location of objects in images, using either local or integrated coordinates. In local coordinates, all images are mapped to the same origin. In integrated systems, each image or frame may be mapped to different areas, and can thus be used to represent coordinates on a mosaic of a video shot. Temporal interpolation describes a time-variant multidimensional variable using connected polynomials. This is useful because the description size is much smaller than explicit description of all real values would be. For example, a camera pan could be described as a series of sample values, or else as a series of linear interpolation functions. These basic structures are used when describing visual features, like color, texture, shape, etc. Color descriptors include color space (RGB, HSV, or YUV descriptions, for example), color quantization, dominant colors, scalable color (used for image matching based on color features), color structure
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descriptor (capturing both color content and the structure of this content), color layout (the spatial distribution of colors), group of frames, and group of picture descriptors (which extend the still image-matching structures for video). Textures are described using three texture descriptors: edge histogram, homogeneous texture, and texture browsing. Shapes are represented by four shape descriptors: region-based shape, contour-based shape, 3D shape, and 2D/3D multi-view. There are four motion descriptors: camera motion (e.g., dolly forward/backward, track left/right, boom up/down, pan, tilt, roll); object trajectory (describing the object s motion in space); parametric object motion (e.g., description of hand shapes and movements as sign language); and motion activity (e.g., high-speed car chase, scoring a goal in a soccer match, news-reader head shot, twoperson interview shot, or landscape scene ). There are two localization descriptors: region locator and spatio-temporal locator. The region locator locates objects within a frame or image, using a box or a polygon representation. The spatio-temporal locator describes how regions in a video sequence, like a bouncing ball for example, are located within those frames over time. This is useful for checking whether the object has passed particular points (e.g., determining the frame when the ball bounced through the basketball hoop). Lastly, MPEG-7 provides a face recognition descriptor, which allows for image matching to a particular face. Detailed description of the above descriptors is beyond the scope of this book (and the expertise of this author). MPEG-7 s relevance to streaming media is that it will make possible applications for location of media packages of interest to end-users, as well as efficient and cost-effective content production environments for those producing streaming media presentations. MPEG-7 would make it entirely feasible to search for video footage on the basis of a query like the comedy we saw in the 70s with the grouchy hotel owner and the Spanish waiter, where the guest died in the night. One could even whistle the theme tune of a program series and locate all episodes. Similarly, content producers could easily locate archive footage for inclusion in their own programming. MPEG-4, while leaving a data field for the identification of intellectual property in the descriptor attached to every elementary stream and specifying interfaces to proprietary systems that can manage and protect IP, did not actually codify the intricacies of rights management. For example, the data field in an elemental stream may contain a number of key-value pairs, such as Composer-Paul Simon. MPEG-4 did not force the key-value pairs to be correct or even present. A criminal might strip
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