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My final answer is that although image search traffic is not useful today, the demand for sophisticated image search will likely lead it to be useful in the future and thus is worth optimizing for now. I don t consider it a high priority but it is a good long-term strategy. With that said, I recommend adding relevant keyword phrases to the alt attributes and filenames of images. (See the Ranking Factors section later in the chapter.) Additionally you should include these key phrases in the text that surrounds the image, including the copy preceding the image, and a caption if possible. These tactics make it easier for visually impaired people and search engines to understand what an image is displaying and have shown to boost the relevancy metrics for the page the image is embedded on.

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I am a big fan of the underdog. At the time of writing, Google dominates online search and advertising. Thus, I get excited when I see formidable competitors. Bing, though much less popular than Google, is winning the race to build the best image search engine. It provides more relevant results in an easier to navigate interface. For example, Bing image search presents an AJAX driven result set that uses scrolling rather than pagination to view additional images (see Figure 11-3). This prevents unnecessary page loads and makes it easier to use (and it s one of the reasons why Google recently created a very similar image results interface). This is a fact that more and more people are realizing. I always use it as my preferred image search engine, and its popularity is growing.

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A lot of the technology behind Bing image search and Bing maps is coming from Microsoft Research. This think-tank style department has made amazing strides forward with image technology in the past few years. As an SEO you should be aware of this trend and not be blindsided when it makes an impact on future search-referred traffic.

1124 Experimental Veri cation of Slow and Fast Fading During the Seventies and Eighties of the last century, some pioneer experimental and theoretical investigations of spatial-temporal variations of signal strength or power in various built-up environments have been carried out It was shown that the propagation process within the urban communication link is usually locally stationary in the time domain [14,35,40,44 49] The spatial variations of the signal passing such a channel have a double nature, the large-scale and the small-scale [40,44,49], which in 1 we de ned as slow and fast fading, respectively, according to the well-known standard Experimental Veri cation of Slow Fading.

Command ordering and selection Discrete and contiguous selection Insertion and replacement Visual indication of selection

As was shown by numerous experimental observations of spatial and temporal uctuations of radio signals in urban communication links, slow fading is observed mostly for higher elevated BS antenna and lower elevated MS antennas compared to roofs of the buildings and are caused by the shadowing effects of buildings surrounding both terminal antennas Finally, deep shadow zones in communications are created along the radio path in NLOS (clutter) conditions between each BS and MS antenna located within the area of service A summary of experimental results, obtained in different cities of Israel, was presented in terms of the cross-correlation function of signal amplitude Di d h Ei r1 Ei r2 i for three components of the eld strength (E1 Ex , E2 Ey , E3 Ez ).

Although there is much research on image search metrics compared to other search verticals, most experts agree the majority of image ranking metrics are related to those that are listed in this section.

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These components were analyzed by measuring along the radio paths between the terminal antenna located at the point r2 and that at the point r1 , that is versus d jr2 r1 j The result of this statistical analysis, shown in Figure 1122, is direct evidence of the existence of such long-scale random variations of signal strength level along the radio path d These spatial signal variations have been obtained after signal processing of the average signal amplitudes (about 3800 magnitudes of signal strength has been investigated) with the scale of averaging $ 8 10 wavelengths at the frequency band from 80 to 400 MHz to exclude effects of fast fading due to random interference between multipath eld components As can be seen from Figure 11.